Rohithram R
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Data Scientist at pubX | Microsoft | Gartner | IIM Bangalore | IIT Madras
I like solving problems in the multi-modal domain and my interests lie at the intersection of NLP, Computer Vision, and Applied Mathematics, which I explored by focusing my academic coursework around Machine Learning, Deep Learning, Probabilistic Graphical Models, Reinforcement Learning, etc., maintaining a CGPA of 9.16/10. I also explored my interests through multiple internships, where I have been awarded a Pre-Placement Offer (PPO) by Gartner after completing a Data Science Internship successfully, where I gained sufficient experience in Client Retention Analysis, Recommender systems using NLP, Multivariate Analysis and also gained essential soft skills needed in the corporate world. I have acquired research experience through Deep Learning Research Intern at IIM Bangalore, where I worked on detecting an alarming health care problem, Diabetic Retinopathy. Also, I got exposure to startup culture through Machine Learning Intern at Flutura Decision Sciences & Analytics, where I worked on High-frequency Time Series Modeling, Bayesian Models, and Anomaly Detection. Please find attached my resume below. You can contact me directly via email: rohith1998ram@gmail.com
Indian Institute of Technology, Madras
Bachelor of Technology - BTech, Electrical engineering
January 1, 2016 – January 1, 2020
Maharishi Vidya Mandir Senior Secondary School
Higher secondary education , XI & XII, Majored in Computer Science Stream
January 1, 2015 – January 1, 2016
pubX
Lead Data Scientist
July 1, 2023 – Present
Bengaluru, Karnataka, India
Microsoft
Data & Applied Scientist
June 1, 2021 – June 1, 2023
Bengaluru, Karnataka, India · On-site
Cargill
ML Software Engineer
July 1, 2020 – June 1, 2021
Bengaluru, Karnataka, India
Gartner
Data Science Intern
May 1, 2019 – July 1, 2019
Gurgaon, Haryana, India
Indian Institute of Management Bangalore
Deep Learning Research Intern
December 1, 2018 – January 1, 2019
Bengaluru Area, India
Flutura Decision Sciences & Analytics
Machine Learning Intern , High frequency Time series analysis
May 1, 2018 – July 1, 2018
Bengaluru, Karnataka, India
Shaastra, IIT Madras
Webops Backend Developer
June 1, 2017 – February 1, 2018
Shaastra, IIT Madras
Android App Developer
June 1, 2017 – January 1, 2018
Institute WebOps and MobOps
Summer Intern , Android App Development
June 1, 2017 – August 1, 2017
IIT madras
Feature Synthesizing Network for Zero-Shot Object Detection
January 1, 2020 – June 1, 2020
• Implemented a Features Synthesizing Network to improve the Zero-Shot Object Detection problem • Exercised CVAE to generate features of unseen classes using their semantic embeddings in the Pascal VOC dataset • Performed extensive analysis to know the effect of different semantic prototypes, and similarity of seen / unseen classes
Modular Policy Stitching | CS6700 - Prof: Dr. B Ravindran
January 1, 2019 – May 1, 2019
• Designed a goal-based environment on a versatile multi-joint robotic arm framework called Jaco • Solved vital tasks like Reach, Pick and Place with Hindsight Experience Replay (HER) algorithm
Foreground Extraction in Video | EE5120 - Prof: Dr.Uday Khankoje
September 1, 2018 – November 1, 2018
• Retrieved a Low Rank & Sparse matrix using Randomized Rank Revealing Decomposition • Recovered the foreground and removed shadows by using the above method, on the frames of video sequence dataset
Stock Market Analysis
September 1, 2018 – October 1, 2018
• Trained a LSTM network on historical stock price data to forecast stock price for the next 20 days • Engineered sentiment-based features by doing Sentiment-Analysis on the past eight years of news articles
International Sports Rankings Prediction | MS4110 - Prof: Dr. Nandan Sudarsanam
August 1, 2018 – November 1, 2018
• Trained an ARIMA model to forecast the future performance of a team using time series data • Improvised by clustering similar teams which reduced overfitting, and developed time-lagged features • Predicted rankings for each team, forecasted multiple timesteps to derive most consistent and most promising teams
Job Application portal
May 1, 2017 – June 1, 2017
It is job application portal, which let's you apply to your dream job!
Design and Analysis of Algorithms
NPTEL
June 25, 2026 – Present
Deep Learning
NPTEL
June 25, 2026 – Present
Introduction to modern application development (IMAD)
NPTEL
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's extensive project portfolio, including academic and personal projects, demonstrates a strong passion for machine learning and continuous learning. Their experience across different companies (Microsoft, Cargill, Gartner) and roles (Data Scientist, ML Software Engineer, Lead Data Scientist) indicates adaptability and a broad exposure to different organizational cultures. The focus on impactful projects and problem-solving aligns well with a results-oriented culture.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience suggest a proactive and problem-solving approach. The ability to 'devise new strategies' and 'unblock the entire team' indicates strong initiative and operational effectiveness. The diverse project portfolio also suggests adaptability and a willingness to tackle varied challenges.