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Data Science with 1+ years in Data Cleaning, SQL & Python
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Highly motivated Data Analyst Intern with 1.7 years of experience in cleaning, validating, and analyzing complex datasets using Excel, SQL, and Python. Proficient in developing interactive dashboards, performing exploratory data analysis, and translating data findings into actionable business insights. Proven ability to improve reporting accuracy and support data-driven decision-making for various business functions, including content and performance analytics.
BM College, Gurugram University
M.Tech · Computer Science Engineering
August 1, 2024 – Present
Madhav Institute of Technology & Science
B.Tech · Internet of Things (IoT)
August 1, 2020 – June 30, 2024
J Spider
Data Analyst Intern
September 1, 2024 – Present
Bengaluru, Karnataka, India
Netflix Content Analytics
June 1, 2026 – June 1, 2026
Executed end-to-end exploratory data analysis on 8,800+ Netflix titles across 100+ countries to identify content distribution and growth trends. Processed 8K+ records via data cleaning and wrangling; performed genre-wise, country-wise, and ratings-based analysis across 40+ content categories. Developed 20+ queries using aggregations in SQL, filtering, and CTEs to extract actionable insights from 70+ years of release data. Produced 10+ KPI visualizations using Matplotlib and Seaborn on regional content distribution and rating classifications.
IPL Performance Analytics
June 1, 2026 – June 1, 2026
Analyzed 1,000+ IPL matches and 250+ player records across 15+ seasons using Python and SQL to uncover winning patterns and performance trends. Engineered 25+ SQL queries to evaluate batting, bowling, and match metrics; tracked KPIs - strike rate, batting average, economy rate, and win percentage. Implemented data cleaning workflows ensuring dataset consistency; created 12+ dashboards using Matplotlib and Seaborn for trend analysis and reporting.
IoT Research Paper
June 1, 2026 – June 1, 2026
Conducted literature review and problem analysis on IoT-based data handling systems. Contributed to research methodology design and technical documentation.
Machine Learning-Based Detection and Prevention of DDoS Attacks
June 1, 2026 – June 1, 2026
Proposed a machine learning-based approach for DDoS attack detection and prevention. Analyzed network traffic patterns to improve cybersecurity monitoring and threat identification.
Zero Trust Architecture: A Modern Approach to Network Security
June 1, 2026 – June 1, 2026
Researched Zero Trust security principles for modern network protection. Evaluated authentication and access control mechanisms to reduce security risks.
NPTEL - Big Data Computing
IIT Kharagpur
June 1, 2026 – Present
NPTEL - Cloud & IoT
Unknown
June 1, 2026 – Present
Google Data Analytics Certificate
Google, Coursera
June 1, 2026 – Present
Google Cloud Computing Foundations
IIT Kharagpur
June 1, 2026 – Present
Microsoft Excel - MOS Associate
Microsoft Office Specialist
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse projects, ranging from academic research in cybersecurity and IoT to personal data analytics projects (Netflix, IPL), show a broad interest in applying data science principles across different domains. Their current enrollment in a Master's program while interning, along with multiple certifications, indicates a strong drive for continuous learning and professional development, which aligns well with a growth-oriented culture. The target role of Data Science is well-aligned with their demonstrated skills and interests, particularly in data analysis, machine learning concepts (DDoS project), and big data.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to problem-solving through project descriptions, emphasizing data cleaning, analysis, and reporting. Their internship experience highlights an ability to work with client datasets and deliver actionable insights, suggesting good operational fit for data-driven roles. The academic projects also indicate research and analytical capabilities.