Om Rakshit

Product Manager

Hyderabad, Telangana, India2 yrs 4 mos experience

Key Highlights

Led product analysis for user-centric solutions.
Achieved 95% accuracy in data analytics projects.
Successfully onboarded 300+ users in 2 months.

Stackforce AI infers this person is a Product Manager with a strong focus on user experience and data-driven decision making.

Contact

omrakshit2@gmail.com LinkedIn

Skills

Core Skills

Product ManagementTeam LeadershipTeam ManagementData AnalysisNatural Language Processing (nlp)

Other Skills

User Experience (UX)WireframingPrototypingDesign ThinkingProduct RequirementsCross-functional CollaborationsUser ResearchGo-to-Market StrategyMicrosoft Power BIDeep LearningMachine LearningMarket ResearchSystems DesignSQLFigma (Software)

About

I am a curious and analytical thinker with a deep passion for product management and building solutions that make an impact. My journey through mathematics and computing has shaped the way I approach problems — structured, data-driven, yet creative. What excites me most about product management is the opportunity to connect user needs with practical solutions, balancing usability, innovation, and strategy. Outside academics, I’ve taken up leadership roles such as serving as General Secretary of Technology Affairs at IIT Kharagpur, where I managed teams, budgets, and cultural initiatives that strengthened collaboration and growth. I’ve also actively participated in sports and cultural activities — from leading a 100+ member Illumination team to winning championships in cricket and weightlifting — experiences that taught me teamwork, perseverance, and the value of shared goals. As an aspiring Product Manager, I am constantly learning, experimenting, and seeking opportunities to grow. My goal is to bring together analytical depth, user empathy, and execution to build meaningful products.

Experience

Darwinbox

Product Analyst

Feb 2026 – Present · 1 mo · Hyderabad, Telangana, India · On-site

Product space

PM Fellowship

Aug 2025 – Dec 2025 · 4 mos · Remote

Product ManagementWireframingPrototypingDesign Thinking

Aevah

Associate Product Analyst

May 2025 – Feb 2026 · 9 mos · Noida, Uttar Pradesh, India · On-site

Drove product analysis and strategy for a user-centric MDM platform at Aevah, aligning client needs with design and engineering.
Analyzed over 30 platform screens, identifying UX gaps that improved cross-team collaboration and reduced navigation time by 50%.
Authored 5+ PRDs that clarified context and scope, accelerating design readiness by 2 weeks.
Led structured user interviews to translate insights into high-priority roadmap features addressing adoption blockers.

User Experience (UX)WireframingPrototypingProduct Management

Indian school of business

Intern

Feb 2024 – Apr 2024 · 2 mos · Hyderabad, Telangana, India · Remote

Thrustx

Product Management Intern

Dec 2023 – Feb 2024 · 2 mos · Gurugram, Haryana, India · Hybrid

Conducted comprehensive market research and competitive analysis for over 5 products, identifying market gaps.
Designed and executed a go-to-market strategy, successfully onboarding 300+ users in just 2 months.
Analyzed user sessions with Mixpanel, identifying friction points and implementing solutions that reduced workflow drop-offs by 18%.

Product RequirementsUser Experience (UX)WireframingCross-functional CollaborationsUser ResearchGo-to-Market Strategy+1

Meriskill

Data Analyst

Sep 2023 – Oct 2023 · 1 mo · Mumbai, Maharashtra, India

Data AnalysisMicrosoft Power BI

Rajendra prasad hall of residence

2 roles

General Secretary: Technology Affairs

Promoted

Aug 2023 – May 2024 · 9 mos · IIT, Kharagpur · On-site

Team ManagementTeam Leadership

Technology Events Secretary

Oct 2022 – Jul 2023 · 9 mos · IIT, Kharagpur · On-site

Team Management

Indian institute of technology, kharagpur

General Championship Data Analytics

Mar 2023 – Mar 2023 · 0 mo · Kharagpur, West Bengal, India

Processed a dataset consisting of data from 25 sensors for 50000 machines for 10 minutes each
Performed sensor importance test, KPSS stationarity test, Granger Causality Test for intra-sensor correlation, and threshold analysis using Multisensor Data Analysis library as a part of Exploratory Data Analysis
Captured time aspect using models and feature aspect by transforming data using Hilbert transformation and engineering various features including growth/decay, linearity, kurtosis, risk factors, entropy
Employed Xresnet34 and resCNN to capture the time aspect and XGBoost, CATboost, and LightGBM to capture the feature aspect yielding an average accuracy of 93.68% and 84.32% respectively on test data
Created a pipeline with a soft voting classifier to yield a final accuracy of 95.10% and an F1-score of 0.96

Data AnalysisDeep LearningMachine Learning

Dexlab analytics

Gender-bias Detection in text

Oct 2022 – Oct 2022 · 0 mo

Classified individual sentences using a depth-first search approach into known biased and unbiased labels
Performed text preprocessing/cleaning while keeping pronouns intact in order to identify three kinds of bias
Employed text vectorizing techniques and used an ensemble of SVM, XGBoost, and CATboost to predict
Achieved a sentence pair accuracy of 98.89 using a second ensemble layer of Voting, BERT, and Bi-LSTM

Natural Language Processing (NLP)Data AnalysisDeep LearningMachine Learning