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Data with less than a year in data analysis & visualization.
Detail-oriented and analytically driven recent B.Tech graduate in Electronics and Communication Engineering from SRM Institute of Science and Technology. Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, and MS Excel for end-to-end data workflows including data cleaning, exploratory data analysis (EDA), statistical analysis, and business insight generation. Hands-on experience delivering data projects in marketing analytics and content strategy, with practical exposure to Power BI and Tableau for dashboard development and KPI reporting. Demonstrates strong attention to detail, critical thinking, and data interpretation skills, complemented by a published IEEE research background and internship experience working cross-functionally to deliver results eager to turn raw data into actionable insights that support informed business decision-making.
SRM Institute of Science and Technology
B.Tech · Electronics and Communication Engineering (ECE)
August 1, 2021 – June 30, 2025
VCodes Innovation and Ideas
Full Stack Developer Intern
April 1, 2025 – October 1, 2025
Chennai, Tamil Nadu, India
SRM Institute of Science and Technology
Embedded Systems Intern
August 1, 2024 – December 1, 2024
Chennai, Tamil Nadu, India
Glow Box A/B Campaign Ad Analysis
May 1, 2026 – June 1, 2026
Conducted end-to-end A/B testing analysis on GlowBox advertising campaign data; cleaned and preprocessed raw ad performance records using Pandas — handling missing values, duplicate entries, and inconsistent date formats — to produce a fully analysis-ready dataset. Applied two-sample z-tests and chi-square tests (SciPy) to determine statistical significance of conversion rate differences between control and treatment ad groups; computed p-values, confidence intervals, and effect sizes to generate data-backed recommendations on optimal ad spend allocation. Visualised key performance metrics — Click-Through Rate (CTR), Cost Per Acquisition (CPA), Return on Ad Spend (ROAS), and conversion funnel drop-off — using Matplotlib and Seaborn; produced a cohesive analysis report communicating actionable insights to a non-technical business audience.
View ProjectNetflix Content Strategy Analysis
April 1, 2026 – June 1, 2026
Performed exploratory data analysis (EDA) on a 8,000+ title Netflix catalog dataset sourced from Kaggle; applied systematic data cleaning — resolving null directors, multi-valued country fields, and malformed date columns — achieving a fully structured dataset ready for visualisation and trend analysis. Uncovered content strategy insights including genre dominance (Dramas and Documentaries leading), Movies-to-TV Show ratio trends, top content-producing countries (USA, India, UK), and post-2015 content growth surge; mapped year-on-year additions using time-series line charts and choropleth maps with Plotly for geographic distribution. Derived audience segmentation insights by analysing rating distributions (TV-MA, TV-14, PG-13) and seasonal release patterns; documented findings in a structured Jupyter Notebook with annotated visualisations and business-facing recommendations for content diversification strategy.
View ProjectDeloitte Australia - Data Analytics Job Simulation
Forage
March 1, 2026 – Present
Parametric Variation Analysis of FD-SOI MOSFET for High-Speed IC Design Applications
IEEE
April 23, 2025 – Present
PCB Design using OrCAD/Allegro
Udemy
November 1, 2023 – Present
C# (Basic)
HackerRank
October 1, 2022 – Present
Cultural Fit Analysis
The candidate shows a proactive and leadership-oriented attitude through involvement in the Coding Ninjas Club and as a Startup Mentor. The diversity of projects (data analysis, full-stack development, embedded systems) and a published paper indicates a broad interest and willingness to learn, which can contribute positively to team dynamics. The focus on delivering actionable insights and collaborating across teams suggests a good cultural fit for results-driven environments.
Soft Skills & Operational Fit
The candidate demonstrates strong critical thinking, problem-solving, and attention to detail through project descriptions and a published paper. Experience in cross-functional collaboration and communication is evident from internship roles and leadership positions. The ability to work in Agile environments and debug systematically suggests good operational fit.