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Data Scientist with less than a year in Data Science & 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
Computer Science & Engineering graduate with hands-on experience in Data Science, Machine Learning, and Business Analytics. Proven ability to turn raw data into actionable insights through Python, SQL, and Power BI — targeting both Data Analyst and Data Scientist roles.
Asansol Engineering College
Bachelor of Computer Science and Engineering
August 1, 2021 – June 30, 2025
Celebal Technologies
Data Science Intern
May 1, 2024 – July 1, 2024
India
Rainfall Prediction - Kaggle Competitions
June 1, 2022 – June 1, 2025
Achieved 91% accuracy with LightGBM via 10-fold Grid/RandomizedSearchCV and SMOTE, improving Kaggle private rank by 3% (86% → 89%). Boosted linear model accuracy by 6% (80% → 86%) using StandardScaler and feature selection (chi-square, correlation analysis), removing 7+ redundant features. Identified overfitting gap between public (#739, top 17%) and private (#2,129, top 49%) leaderboards, gaining hands-on experience diagnosing generalization issues in ML models.
View ProjectStroke Prediction and Analysis
June 1, 2022 – June 1, 2025
Developed a stroke risk classifier on 13,709 records using SMOTE to handle class imbalance, achieving 99% accuracy, 0.99 F1-score and 99% recall minimizing missed diagnoses. Deployed a Streamlit web app enabling healthcare professionals to assess stroke risk in under 30 seconds, accelerating decision-making. Created a 5-page Power BI dashboard with interactive visualizations, highlighting key risk factors such as age, BMI, glucose, and occupation to support actionable insights.
View ProjectALT MOBILITY – Business Analytics & Dashboard
June 1, 2022 – June 1, 2025
Conducted business analysis and market research on 15,000+ orders across 6 years, identifying ~67% of transactions stuck in pending/failed status, directly affecting $2.5M+ in sales. Built a Power BI business intelligence dashboard tracking 7,300+ unique customers, analyzing customer needs and revealing 60% of revenue came from repeat customers. Delivered strategic process optimization recommendations projected to reduce payment failures by 15-20%, unlocking $1.2M+ through financial analysis of at-risk revenue.
View ProjectIntroduction To Data Science In Python
University of Michigan (Coursera)
April 1, 2024 – Present
Introduction To Machine Learning
Duke University (Coursera)
November 1, 2023 – Present
Python Basics
University of Michigan (Coursera)
October 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from business analytics to healthcare and Kaggle competitions, indicates a broad interest in applying data science across different domains. Their proactive pursuit of certifications from reputable universities (Michigan, Duke) shows a commitment to continuous learning and self-improvement. The target role of 'Data Scientist' aligns well with their demonstrated skills and project experience. The remote internship experience also suggests adaptability. Overall, the candidate appears to be a good cultural fit for a data-driven, learning-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in identifying and addressing business challenges (ALT MOBILITY) and technical issues (overfitting in Kaggle). Their ability to deploy applications (Streamlit) suggests a practical, results-oriented approach. The descriptions indicate a good understanding of the full data science lifecycle from data cleaning to model deployment and visualization. However, without direct assessment data on communication, teamwork, or stress handling, a comprehensive evaluation of operational fit is limited.