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Data Science with less than a year in Data Analytics & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Seeking an opportunity to build a career in data analytics, artificial intelligence, and software development while contributing to real-world projects and continuous learning.
MET's Institute of Engineering, Nashik
Masters in Computer Application · Computer Application
August 1, 2024 – June 30, 2026
CMCS College, Nashik
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2024
Hisan Labs Pvt. Ltd.
Data Science Intern
January 1, 2026 – Present
India
Purchase Intention Prediction
June 1, 2026 – Present
Built a machine learning model for customer purchase prediction using EDA and classification techniques. Performed data preprocessing, feature engineering, & exploratory data analysis. Trained and evaluated classification models using Scikit-learn and performance metrics.
View ProjectRunEV- EV Charging Platform
June 1, 2026 – Present
Developed a real-time EV charging platform using Python, FastAPI, SQL, Streamlit, and Supabase. Integrated SQL and Supabase databases for data storage and management. Built interactive dashboards for tracking charging requests and provider activities.
View ProjectArtificial Intelligence with Machine learning
Oracle Academy
June 1, 2026 – Present
Python Certification
IIT Spoken Tutorial
June 1, 2026 – Present
IT Support Professional Certificate
Google & Coursera
June 1, 2026 – Present
Earth Bloom: API-Based Precision Agriculture System for Cost-Effective Smart Farming
IRJIET
June 1, 2026 – Present
Data Analysis using Microsoft Excel
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in practical applications of data science (EV charging, purchase prediction, precision agriculture). The internship at Hisan Labs Pvt. Ltd. and academic background align with a data-driven culture. The breadth of skills and tools used indicates a willingness to learn and adapt, which is positive for cultural fit. However, the experience level is entry-level, which might require significant mentorship in a senior role.
Soft Skills & Operational Fit
The candidate lists adaptability, time management, teamwork, and collaboration as soft skills. The project descriptions and internship experience suggest an ability to work on defined tasks and contribute to project development. However, without direct assessment, the depth of these soft skills in a senior operational context is not fully verifiable.