Data Science with 1+ years in Machine Learning & NLP
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Assessing your cultural and operational fit
Results-driven Data Scientist with hands-on experience in machine learning, statistical analysis, and end-to-end ML pipeline development. Skilled in Python, SQL, NLP, and data visualization tools like Power BI, Tableau, and Streamlit. Demonstrated ability to build and deploy predictive models on real-world datasets, extract actionable insights from unstructured text, and communicate findings through interactive dashboards to support data-driven decision-making.
Visvodaya Institute of Technology and Science
B.Tech · Computer Science & Engineering
August 1, 2019 – June 30, 2023
Priyadarshini Junior College
Senior Secondary (XII) · Science (MPC)
June 1, 2017 – May 31, 2019
AP MODEL SCHOOL
Secondary (X) · 10th Class
June 1, 2017 – May 31, 2017
Deloitte
Data Analytics Participant
April 1, 2026 – June 30, 2026
India
Ai Variant
Data Science Intern
March 1, 2025 – September 30, 2025
India
Automated Resume Classification Pipeline
June 24, 2026 – Present
• Built an end-to-end NLP pipeline to automatically classify 1,000+ resumes into 25 job categories using TF-IDF vectorization and Naïve Bayes / SVM classifiers. • Achieved 92% classification accuracy after hyperparameter tuning and cross-validation loops. • Deployed as a live Streamlit web app enabling real-time automated resume screening by HR teams, reducing manual screening time by ~60% in a test environment.
Customer Segmentation & Behavioral Analytics
June 24, 2026 – Present
• Performed RFM (Recency, Frequency, Monetary) analysis on 50,000+ transaction records to isolate high-value customer segments. • Applied K-Means clustering (k=5, silhouette score 0.68) to segment customers into actionable behavioral profiles. • Built an interactive Power BI dashboard visualizing segment distribution, revenue contribution, and churn risk to boost campaign ROI by an estimated 20%.
Sales Forecasting with Time Series Analysis
June 24, 2026 – Present
• Developed ARIMA and Facebook Prophet models to forecast monthly sales for a retail dataset spanning 3 years. • Achieved a Mean Absolute Percentage Error (MAPE) of 4.8%, outperforming the baseline moving average by 35%. • Automated data ingestion and model retraining pipeline infrastructure using Python scripts.
Data Analytics Job Simulation Certificate
Deloitte (via Forage)
April 19, 2026 – Present
Certificate of Internship in Data Science
Ai Variant
September 30, 2025 – Present
Data Science Certification (With Distinction)
ExcelR EdTech
July 7, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity (NLP, customer segmentation, time series forecasting) and experience in both internship and training programs suggest adaptability and a willingness to learn. The target role of Data Science aligns well with their demonstrated skills and project experience. The breadth of tools and techniques used indicates a proactive approach to skill development, which is a positive for cultural fit in a dynamic data science environment.
Soft Skills & Operational Fit
The candidate demonstrates good collaboration skills through their internship experience, working in an agile cross-functional team and presenting insights to non-technical audiences. Their project descriptions indicate a problem-solving mindset and an ability to translate business requirements into data science workflows. The Deloitte job simulation also suggests an understanding of corporate client environments and analytical problem-solving frameworks.