Prashant Sharma

Junior Data Scientist @ Cron Labs

About

I didn't plan to become a Data Scientist. I planned to build a machine that could understand how a muscle moves.That final year project — classifying EMG signals to support prosthetics and rehabilitation using ML — was the first time I felt the real pull of this work. Not the theory. The application. The idea that a model could help someone move their hand again.That curiosity is what drives everything I do now.At Cron Labs, I work on problems that are messier and more urgent than anything in a textbook. I've built ML models for sales and demand forecasting — the kind where a wrong prediction costs real money. I've designed data pipelines and Power BI dashboards that turn raw, chaotic FMCG data into something a business team can actually act on. And I've worked on NLP — text classification and analysis — where the challenge isn't just getting the model right, it's getting the output trusted.What I've learned working in a startup environment: speed matters, clarity matters, and the best model is the one that gets used.My toolkit: Python · SQL · Machine Learning · NLP · Generative AI · Scikit-learn · Power BI · Microsoft Azure AI · RI'm currently looking for my next Data Scientist role — ideally somewhere I can go deeper on ML, NLP, or GenAI and work on problems that actually matter. If that sounds like your team, let's talk.

Country

India

City

Bengaluru

Industry

Information Technology & Services

Skill

Cross-sell & Upsell Analytics, SQL / MySQL, Exploratory Data Analysis (EDA), Pandas (Software), Data Science, Data Analysis, Network Architecture, HTML, Django, Machine Learning, Flask, Problem Solving, Computer Network Operations, Performance Dashboards, Computer Literacy, Data Visualization, E-Commerce, Cloud Computing, Retail Sales, Database Management System (DBMS)

Experience

Junior Data Scientist

Cron Labs

2025-7 - Present · 1 yr 3 mos

Bengaluru, Karnataka, India

Working as a Junior Data Scientist at Cron Labs, supporting an FMCG client by delivering data-driven insights and machine learning solutions to improve sales effectiveness and retailer engagement. Key Responsibilities & Achievements: Worked extensively on cross-sell and upsell recommendation use cases to identify relevant product opportunities for retailers. Performed frequency analysis and purchase behavior analysis to understand buying patterns and improve recommendation accuracy. Built and evaluated machine learning models for classification and prediction using Python (Pandas, NumPy, Scikit-learn). Conducted exploratory data analysis (EDA) on large FMCG sales datasets to identify trends, gaps, and growth opportunities. Designed and automated data pipelines and reports to support recurring business analysis. Created dashboards and insights reports using Power BI / Excel for stakeholders and clients. Collaborated with business and analytics teams to convert requirements into actionable data solutions. Ensured data quality, validation, and documentation for reliable and reproducible analysis.

Python Developer

Global IT Providers

2022-7 - 2022-8 · 2 mos

Contributed to backend development and automation tasks, enhancing application performance. Collaborated with a team to design, implement, and maintain software solutions. Gained hands-on experience in coding, debugging, and version control using Git.