Aspiring Data Scientist with AI Focus

Komal Shahu

Data Scientist B.Tech in Artificial Intelligence & Engineering 2026

*************@*****.*** +91-860*******

github.com/komalshahu linkedin.com/in/komalshahu

TECHNICAL SKILLS

Languages: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (MySQL, ORACLE), DAX, NoSQL (MongoDB) Technologies & Tools: Power BI, Excel, Jupyter Notebook, GitHub, Power Query, ETL, SUMMARY

Aspiring Data Scientist with a strong academic foundation in Artificial Intelligence & Data Science (B.Tech, 2026) and hands- on experience in machine learning, predictive analytics, and big-data processing. Proficient in Python, SQL, and visualization tools (Power BI, Tableau) with a proven ability to design ETL pipelines, build scalable models, and translate complex datasets into business insights. Passionate about solving real-world challenges through data-driven innovation and eager to contribute to an organization’s growth by delivering impactful, AI-powered solutions. WORK EXPERIENCE

Data Analytics Intern

Edunet Foundation – Virtual Internship Feb 2024 – Apr 2024

• Analyzed a large Superstore dataset using Power BI, Excel, and Python libraries like Pandas, Matplotlib, and Seaborn.

• Designed and developed interactive dashboards to visualize sales performance, customer demographics, and product trends.

• Performed data cleaning and transformation, improving data quality and reporting efficiency by 20%.

• Delivered insights to support business decisions and enhanced data storytelling using visualization tools. EDUCATION

Priyadarshini J.L. College of Engineering, RTMNU 2022 – 2026 B.E in Artificial Intelligence and Engineering CGPA: 8.29 Relevant Coursework: Discrete Maths, Machine Learning, Data Science, AI-NLP, DBMS, NoSQL, Linear Algebra & Statistics, Clustering & Cloud Computing, Data Structure and Algorithms. PROJECT WORK

• Customer Churn Analysis Jan 2024 – Mar 2024 GitHub Built a complete ETL pipeline to process 100K+ telecom records using Python (Pandas) and MySQL, improving churn model accuracy by 18%. Developed Power BI dashboards to visualize churn trends and revenue impact, enabling data- driven retention strategies. Showcased expertise in data engineering, predictive analytics, and business intelligence.

• Order Sell Data Analysis Dec 2023 – Jan 2024 GitHub Executed a full ETL sales analysis using Python (Pandas) and MySQL to uncover product performance, customer segments, and revenue trends. Built a Power BI dashboard that automated reporting and reduced manual effort by 30%. Demonstrated strong skills in data wrangling, SQL, and business intelligence to support strategic decisions.

• Multi-Channel Ad Campaign Analysis Mar 2024 – Jul 2024 GitHub Analyzed 25,000+ ad records across DV360, Facebook Ads, and Google Ads to uncover high-conversion patterns and optimize ROI. Built a linear regression model (R = 0.98) to predict conversions based on clicks, and used A/B testing

(t-test, p = 0.14) to compare platform performance. Identified a 25% cost-saving opportunity by tracking weekly cost- per-conversion trends and confirmed long-term budget-to-conversion stability via cointegration analysis (p < 0.001). Used Pandas, Matplotlib, Seaborn, Scipy, Statsmodels. Keywords: Product Analytics, A/B Testing, Regression. ACHIEVEMENTS & ACTIVITIES

Certification: Data Base Management System, Advance Python, Data Analytics, Excel. Extra-Curricular Activities: coordinator in Bit-c and Tarang Event, team collaboration, Technical setup and presentation management.

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