Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Roles and Projects at 2.0 LPBI

UPDATED on 1/2/2022

No reply to:

From: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu>
Date: Monday, December 27, 2021 at 11:13 AM
To: “Srini Sriram (Westford Academy)” <srinivassriram06@gmail.com>, “Abhisar Anand (Westford Academy)” <abhisar.muz@gmail.com>
Cc: “Dr. Stephen J. Williams” <sjwilliamspa@comcast.net>, Erich Greenebaum <erich@prosperci.com>
Subject: ARE YOU READY to be back at LPBI for the Xmas vacation??

No reply to:

From: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu>
Date: Monday, December 20, 2021 at 1:07 PM
To: “Srini Sriram (Westford Academy)” <srinivassriram06@gmail.com>, “Abhisar Anand (Westford Academy)” <abhisar.muz@gmail.com>
Cc: “Dr. Stephen J. Williams” <sjwilliamspa@comcast.net>, Erich Greenebaum <erich@prosperci.com>
Subject: ARE YOU READY to be back at LPBI for the Xmas vacation??

1st Project: Data Science Project

STARTS 

6/15/2021 – 8/15/2021

Task 1: Write CODE in Python HOW TO GENERATE automatically a download of all Journal articles N=6.050)

by Views by Year since date of Publication

2012-2021: Journal articles by Views. Journal has 2MM views and 6,050 articles

We have a Run 2012 till 6/30/2020

We need one for 2012 till 12/31/2020

We need one 6/30/2020 till 6/30/2021

We need one 1/1/2020 – 6/30/2020 

We need one 7/1/2020 till 12/31/2020

We need one run performed on 12/31/2021 since 2012

Task 2: Create Documentation

We need to have Python code documented so another INTERN will be able to take over that TASK use your code to run the data.

Task 3: Run the Data

2nd Project: Under WordPress.com design of a new website – THIS PROJECT WAS NOT STARTED in 2021 Summer Internship

STARTS 

6/15/2021 – 8/15/2021

Create a new Website using a new Theme for the Tab BioMed e-Series on our Website for our Spanish edition of Books

SEE

https://pharmaceuticalintelligence.com/biomed-e-books/

BioMed e-Series

New Website under WordPress for BioMed e-Series for our 18 books in Medicine – Now been Translated to Spanish:

– Cover Page

– electronic Table of Contents

If we get PROJECT 1 & 2 done:

• THEN Mini project on Twitter two handle:

Update data extraction – last run 6/2020

In Parallel both will self teach with guidance what NLP we need to use starting 9/5/2021 – The One-year Academic Training Medical Text Analysis with NLP.

We will also discuss Data Indexing (6,050 Journal articles, mentioned above) for the blockchain platform to be built for Content monetization.

3rd Project: One year Academic Training in Medical Text Analysis using NLP/ML/AI

STARTS 

9/2021 to 9/2022

https://pharmaceuticalintelligence.com/2021-medical-text-analysis-nlp/

Declaration of Domains of Interest

12 Categories of Research:

1. Artificial Intelligence in Cancer
2. Artificial Intelligence in Healthcare – Tools and Innovation
3. Artificial Intelligence in Medicine – Application for Diagnosis
4. AI-Assisted Cardiac MRI
5. Artificial Intelligence in Psychiatry
6. Deep Learning in Pathology
7. Artificial Intelligence in Medicine – Applications in Therapeutics
8. Natural Language Processing (NLP)
9. Machine Learning in predicting Type 2 Diabetes
10. Artificial Intelligence Applications in Health Care
11. Artificial Intelligence in Medicine – Application for Diagnosis
12. Artificial Intelligence applications in Cardiology

2021-2022 Medical Text Analysis (NLP)

SRINIVAS SRIRAM

Email: srinivassriram06@gmail.com LinkedIn: linkedin.com/in/srinivas-sriram-3829161b4 Phone No. +1 (978) 399 5638

2021 Summer Internship Verifiable Certificate in IT and Data Science, June 2021 – August 2021

LPBI’s IT and Data Science problem solved:

Problem definition:

To extract the views for each of the 6,000+ articles for different time periods. Must be done in a time-efficient manner that retrieves the necessary data for LPBI. 

Conceptual solution:

Create a multiple-step process that involves web scraping the data in multiple processes to enhance the speed of the extraction, and use data analysis libraries in Python to format the data in the correct format.

Code Implementation: https://pharmaceuticalintelligence.com/sop-web-stat/

IT Infrastructure Projects:

1. LPBI 2.0’s Official Slide Deck
   1. Performed the necessary updates for the Slide Deck per LPBI’s needs. 
   2. Sent the final copy of the slide deck on August 24th, 2021
2. LPBI India Map
   1. Performed the necessary updates for new LPBI India Members and Members who left LPBI India.
   2. Created an SOP Article on the Journal for how to update the map of LPBI India for future reference.
3. Finished the Onboarding Process of LPBI  
4. Created our first Posts on the Website
5. Converted the Posts into Podcasts
6. Updated the website statistics for July 1st on this webpage:
   1. https://pharmaceuticalintelligence.com/2021/02/01/february-1-2021-we-celebrate-1924400-e-readers-6000-scientific-journal-articles-7525-scientific-comments-a-journal-ontology-of-728-medical-life-sciences-research-categories-10440-tag/
7. Created a Standard Operating Procedures Manual for how to get an email on DropBox on the Journal and create a Podcast for this article. 
8. Updated the CVs for:
   1. VL
   2. PK
   3. IG
9. Converted a selective number of Biographical articles of LPBI’s Founder into Podcasts 
10. Contacted WordPress to figure out solutions for issues with our program. 
11. Created Documentation for our Data Science Project with LPBI
12. Prepared a presentation of our Project for the LPBI July Internal Meeting

Publication on PharmaceuticalIntelligence.com

Developing Deep Learning Models for the Instant Prediction of Patients with Epilepsy (Authors: Srinivas Sriram and Abhisar Anand)

Developing Deep Learning Models (DL) for the Instant Prediction of Patients with Epilepsy

Developing Deep Learning Models for Classifying Emotions through Brainwaves (Authors: Abhisar Anand and Srinivas Sriram)

Developing Deep Learning Models (DL) for Classifying Emotions through Brainwaves

February 1, 2021 – We Celebrate 1,924,400 e-Readers, 6,000 Scientific Journal Articles, 7,525 Scientific Comments, A Journal Ontology of 728 Medical & Life Sciences Research Categories, 10,440 Tags, Top Article 17,300 Views, Top Author 487,500 Views on PharmaceuticalIntelligence.com (Updated on 7/1/2021 by Abhisar Anand and Srinivas Sriram)

February 1, 2021 – We Celebrate 1,924,400 e-Readers, 6,000 Scientific Journal Articles, 7,525 Scientific Comments, A Journal Ontology of 728 Medical & Life Sciences Research Categories, 10,440 Tags, Top Article 17,300 Views, Top Author 487,500 Views on PharmaceuticalIntelligence.com

Standard Operating Procedures for Creating a DropBox Account (Author: Abhisar Anand, Co-Author: Srinivas Sriram)

Standard Operating Procedures for creating a DropBox Account

Standard Operating Procedures for Updating the Map of LPBI India (Author: Srinivas Sriram, Co-Author: Abhisar Anand)

Standard Operating Procedures for Updating the Map of LPBI India

ATTRIBUTES

Extensive knowledge of the Computer Science Industry – Coding for the past 6 years, and working in the Machine Learning field for the past 3 years.

Team management and task distribution in a project-scenario.

Capable of working independently and in a team scenario.

Hardworking, will attempt my best to complete assigned projects in an efficient yet effective manner.

EDUCATION

High School Diploma, Graduation: June 2024.  Westford Academy, Westford, MA. Cumulative GPA 4.267

LANGUAGES: English, proficient; Spanish, developing.

RELATED COURSE WORK:

            Science: Biology H, Intro to Engineering CP

            Mathematics: Geometry H

            Language: Spanish II H

            Technology: Website Development CP

AWARDS:

Certificate of Outstanding Academic Excellence, June 14, 2020. Outstanding Academic Performance – Gold Level, The President’s Education Awards Program, Lloyd G. Blanchard Middle School.

Certificate of President’s Volunteer Service Award, 2020. President’s Volunteer Service Award – Gold Level, The Corporation for National and Community Service and Points of Light, World Class Martial Arts, Westford MA.

National Spanish Exam – Gold Medal Winner, 2020. Outstanding Performance in the National Spanish Examination, American Association of Teachers of Spanish & Portuguese, Lloyd G. Blanchard Middle School.

Outstanding Effort Award – Spanish, 2020. Outstanding Effort in Spanish work throughout the 2019-2020 School Year. Lloyd G. Blanchard Middle School. Spanish Profesora: Patricia Brumbaugh.

EXTRACURRICULARS:

Programming Club, Sep. 2020 – Present.

DECA, Westford Academy Chapter, Sep. 2020 – Present.

Violinist, Blanchard Middle School Orchestra. Sep. 2016 – Jun. 2020.

Destination Imagination Technical Challenge, GVW School. Sep. 2015 – Mar. 2019. 

Taekwondo, Sep. 2015 – Present. World Class Martial Arts, Westford MA.

First Technical Challenge, Aug. 2018 – Jan. 2020.

WORK EXPERIENCE:

Assistant Instructor, Sep. 2019 – Jan. 2020, World Class Martial Arts. Assisted in teaching lower-level classes by demonstrating the fundamental principles of the martial art taekwondo.

VOLUNTEER SERVICE:

Public Health Volunteer, New England Shirdi Sai Temple, Groton, Mass. Jul. 2020 – Present. Installed the “Mask Detection” and “Occupation Tracker” projects in the temple and provided quality results that helped keep the devotees in the temple safe.

 CS & TECH EXPERIENCE

PROGRAMMING LANGUAGES: Python, Oracle SQL, HTML, and Basic.

SPECIFIC SKILLS: Artificial Intelligence (AI), Data Analysis, Deep Learning,

Data Visualization, Machine Learning, Computer Vision, PyTorch, TensorFlow, Scikit-Learn, OpenCV, Embedded Software Development.

AWARDS:

1st Place Prize, NetScout StarHacks Hackathon (online), May 2021. Team: Abhisar Anand, Aditya Anand, Arjun Sikka, Srinivas Sriram. Code: https://github.com/EmotePi/EmotePi_Code

Moderna 3rd Place Award – MSEF State Fair, May 2021.

Massachusetts Science & Engineering Fair (online). For “AI Detection of Epileptic Seizures,” a home-care medical device.

Certificate of President’s Volunteer Service Award, Apr. 2021. President’s Volunteer Service Award – Gold Level, New England Shirdi Sai Temple, Groton MA.

Honorable Mention Award – MSEF State Fair Qualifier, Mar. 2021.

Massachusetts Science & Engineering Fair (online). For “AI Detection of Epileptic Seizures,” a home-care medical device. Code: https://github.com/Abhisar Anand/ Epileptic_Seizure_ Detection

Report: https://tinyurl.com/ SeizureRP

1st Place Prize, Virtual Junior Shark Tank (online), Jan. 23, 2021.

Indian Association of Greater Boston.

Video: https://youtu.be/1s2dkt4eD_4 (6:27 to 24:19)

1st Place Prize, WWP Hackathon (online), Oct. 2020. Team: Abhisar Anand, Arsh Sharma, Kush Gami, Srinivas Sriram. Devpost Link: https://devpost.com/software/hand_ai

Best COVID Hack, Flare Hacks Hackathon (online), Jul. 2020. Team: Abhisar Anand, Aditya Anand, Milan Behera, Srinivas Sriram. Code: https://github.com /srinisriram/School_Pi_ Safe_FLAREHACKS Devpost Link: https://devpost.com/ software/school_pi_ safe_flarehacks

3rd Place, Hack3 Hackathon (online), Jun. 2020. Team: Abhisar Anand, Milan Behera, Srinivas Sriram. Code: https://github.com/srinisriram/ Mask_ Pi_HACK3  Link: https:// devpost.com/software/ mask_ pi_hack3

MAJOR PROJECTS:    

“AI Detection of Epileptic Seizures”,  Oct. 2020 – Present. The purpose of this research project was to use deep learning (DL) algorithms to develop an RNN model that could analyze live EEG data as a prototype for a home-care system that can immediately detect and report oncoming seizures in patients with chronic seizure disorders, including petit and grand mal epilepsy.

            Collaborators: Abhisar Anand, Srinivas Sriram

            Code: https://github.com/AbhisarAnand/Epileptic_Seizure_Detection

Paper: https://tinyurl.com/SeizureRP

“Occupation Tracker”, Jun. 2020 – Present. This project is able to keep track of how many people are in a building at any given point in time. If the current count of the people in the building exceeds the CDC Guidelines for public gatherings, an alarm will play, notifying the people who are attempting to enter that the max occupancy of the building has been reached and to wait until there is space available.

              Collaborators: Abhisar Anand, Srinivas Sriram

              Code: https://github.com/srinisriram/Occupancy_Tracker_ENTRANCE.git

“Mask Detector”, Jun. 2020 – Present. After “Mask_Pi”, our team developed a reliable algorithm that can perform necessary actions for businesses and companies who want to make sure that the people who are entering the company are wearing a face mask.

              Collaborators: Abhisar Anand, Srinivas Sriram

              Latest Code: https://github.com/AbhisarAnand/Mask_Detector_v2.git

              Previous version: https://github.com/srinisriram/Mask_Detector.git

“Car Speed Detector”,  Jun. 2019 – Present. This project involves setting up a camera near a road (attached to a window with a clear sight of the road), and monitoring the speed of the cars that drive on the road. If the car exceeds the speed limit (predefined), then an email alert is sent to people who can do something about it.

              Collaborators: Abhisar Anand, Aditya Anand, Arjun Sikka, Srinivas Sriram, Sriram Sridhar, and Rajesh Singh (mentor – adult permission to set up product in 4 different locations in the neighborhood)

              Code: https://github.com/ssriram1978/car_speed_detector

“Drivector”,  Apr. 2020 – Present. A cost-efficient, simple to set up, and effective product that limits the distractions faced on the road. This business concept and real-life product notices that the driver is distracted in an instant and a loud alarm will continue to play until the driver is no longer distracted. Detects drivers who are looking away from the road, drivers who are unalert (being drowsy/sleepy), and drivers using a device.

            Collaborators: Abhisar Anand, Kush Gami, Srinivas Sriram

            Code: https://github.com/srinisriram/Drowsiness-Detection.git

Business Model: https://tinyurl.com/Drivector