DEVANSHU PRAMODRAO GHULAXE
Data Scientist Data ScientistAI 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
Data Scientist with less than a year in Python, Machine Learning & Cloud.
B.Tech Information Technology graduate with hands-on experience in Data Science, Machine Learning, and Business Analytics. Proficient in Python, SQL, Power BI, and Tableau for end-to-end data pipelines, statistical analysis, and interactive dashboards. Complementary skills in .NET Full Stack development, REST APIs, and AWS Cloud, enabling versatile contributions across data and backend domains. Passionate about turning raw data into actionable insights and building scalable, data-driven solutions.
MIT ADT University
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
Coincent.ai
Data Scientist Trainee
June 1, 2024 – August 31, 2024
Pune, Maharashtra, India
Plant Disease Protection System
June 1, 2026 – Present
• Built a CNN-based image classification model achieving 95% validation accuracy on plant disease dataset. • Performed data preprocessing, augmentation, and feature engineering to improve model robustness. • Developed a Flask web application for real-time disease prediction with visual output for end users. • Awarded 1st Prize – Best Final Year Project at MIT ADT University.
Sales Analysis & Trend Forecasting
June 1, 2026 – Present
• Analyzed multi-year sales data using Python (Pandas, Matplotlib) and SQL to identify revenue trends. • Built interactive Power BI dashboards with DAX measures, slicers, and drill-through for stakeholder reporting. • Applied time-series forecasting to project quarterly targets, supporting data-driven business decisions.
Customer Churn Prediction
June 1, 2026 – Present
• Performed exploratory data analysis and feature engineering on customer behavioral data. • Trained and evaluated classification models (Logistic Regression, Random Forest, XGBoost) for churn prediction. • Achieved 88% accuracy, generated actionable retention insights for business stakeholders.
Microsoft Power BI for Data Analytics
Coursera
June 1, 2026 – Present
Deep Learning Specialization
Coursera
June 1, 2026 – Present
Generative AI Certification
Coursera
June 1, 2026 – Present
Tableau Essential Training
LinkedIn Learning
June 1, 2026 – Present
.NET Full Stack Development
Coursera
June 1, 2026 – Present
AWS Cloud Practitioner
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio (plant disease, sales analysis, churn prediction) and certifications in various areas (Deep Learning, Generative AI, Power BI, AWS) suggest a strong drive for continuous learning and adaptability. The 'Open to Roles' section indicates a broad interest, which could be a strength for cross-functional teams but also suggests a need to refine a specific career path. The blend of data science with backend and cloud skills indicates a potential for full-stack data solutions, aligning with modern data team needs.
Soft Skills & Operational Fit
The candidate demonstrates good project management skills through leading a technical club and achieving 1st prize for a final year project. Collaboration in an agile environment using Git is also noted. The project descriptions are clear, indicating good communication of technical work.