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Machine Learning & Data Science
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Indian Institute of Technology, Roorkee
Master of Science - MS, Analytical Chemistry
January 1, 2007 – January 1, 2012
M20 Technologies
Data Scientist
August 1, 2023 – June 1, 2024
Toronto, Ontario, Canada · Hybrid
Omdena Nepal Chapter
Collaborator
February 1, 2023 – May 1, 2023
Toronto, Ontario, Canada · Remote
SAMETRICA
Senior Consultant Social Impact and Analytics
October 1, 2019 – May 1, 2022
Toronto, Ontario, Canada · Hybrid
IFMR LEAD | Leveraging Evidence for Access and Development
Research Manager
December 1, 2017 – March 1, 2019
Chennai Area, India
Abdul Latif Jameel Poverty Action Lab (J-PAL)
Senior Research Associate
August 1, 2015 – August 1, 2017
Abdul Latif Jameel Poverty Action Lab (J-PAL)
Research Consultant
November 1, 2013 – August 1, 2015
StarAgri Finance Ltd.
Manager - Research & Planning
July 1, 2012 – May 1, 2013
Mumbai
Opportunity Application Matcher
April 1, 2024 – December 1, 2024
The project analyzes the textual data from job postings (opportunities) and applicant profiles to calculate similarity and rank applicants based on their similarity to a given job opportunity. As an exploratory project, three NLP approaches viz. word2vec, BERT based (uncased) and DistillBERT based (uncased) are employed. Further, the results of the models were subjected to an comparitive analysis to see which amongst these models can be used for scaling into a full fledged application. For the user's understanding, a locally available application, created using Streamlit library demonstrates the workings of all the three models. Later an another application is created to demonstrate the project using the most optimum model and this applcation is cloud deployed. The code and details for the optimized application will not be shared here in this document. To access the applcation code available on Github, click the following link: https://github.com/rathishsekhar/Opportunity_Application_Matching_App The projects aims to analyze typical job-candidate data to 1. Identify suitable job matches for each candidate within the existing database of jobs 2. Calculate the compatibility between candidates versus the associated jobs through machine learning techniques. 3. Create and demonstrate an user friendly application where new candidates profile can be inputted to receive the job that matches closest matching profile.
Gen AI Foundational Models for NLP & Language Understanding
IBM
June 25, 2026 – Present
Generative AI and LLMs: Architecture and Data Preparation
IBM
June 25, 2026 – Present
Data Science Methodology by IBM
Coursera
June 25, 2026 – Present
What is Data Science? by IBM
Coursera
June 25, 2026 – Present
Open Source tools for Data Science by IBM
Coursera
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, particularly the 'Opportunity Application Matcher' and previous roles in social impact and research, indicates an interest in applying ML to real-world problems. The transition from research-heavy roles to a dedicated Data Scientist position shows adaptability. However, the target role of ML Engineer often requires a stronger software engineering background and experience with production-grade ML systems, which is not explicitly detailed beyond the cloud deployment of one application. The academic background in Analytical Chemistry, while demonstrating strong analytical foundations, is not directly aligned with typical computer science or engineering paths for an ML Engineer.
Soft Skills & Operational Fit
The candidate's resume highlights critical thinking, communication, and data storytelling skills, which are crucial for an ML Engineer to effectively convey insights and collaborate with cross-functional teams. Their experience in research and consulting roles suggests an ability to work on complex problems and manage projects. However, without psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.