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Data Analyst with less than a year in data analysis, ML, and business intelligence.
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Assessing your cultural and operational fit
Results-driven Computer Science (AI & Data Science) final year engineer with hands-on experience in data analysis, machine learning, and business intelligence. Proficient in Python, SQL, Power BI, Tableau, and MS-Excel for end-to-end data workflows - from extraction and manipulation to dashboarding and stakeholder reporting. Built production-grade ML models, designed interactive dashboards, and delivered data-backed reports during a Data Analyst internship. Certified by IBM, Cisco, EXIN, and University of London in AI, Cloud, Cryptography, and Security. Seeking a Data Analytics role to drive data-driven decisions and scalable business impact.
Vivekananda Global University, Jaipur
B.Tech · Computer Science (AI & Data Science)
August 1, 2023 – June 30, 2027
Carmel High School, Patna
Class XII · ICSE
N/A – May 31, 2023
Carmel High School, Patna
Class X · ICSE
N/A – May 31, 2021
SkillCraft Technology
Data Analyst Intern
January 1, 2025 – February 1, 2025
India
Retail Sales Analysis & Excel Dashboard
January 1, 2025 – January 1, 2025
Analysed a retail sales dataset (~2,000 rows) using Pandas to identify top-selling product categories and monthly revenue trends across a 12-month period. Used SQL queries to filter and extract data by region and product type; summarised results in MS-Excel using pivot tables, VLOOKUP, and bar charts. Visualised a Q3 sales dip using Matplotlib and wrote a short findings report with practical recommendations to improve stock planning.
Student Performance EDA
January 1, 2025 – January 1, 2025
Performed exploratory data analysis on a public student dataset to study how study hours, attendance, and parental background relate to exam scores. Cleaned raw data in Pandas by handling missing values, encoding categorical columns, and removing outliers to prepare an analysis-ready dataset. Created Seaborn visualisations including heatmaps, box plots, and scatter plots, and wrote a structured summary report with data-backed observations.
Stock Price Prediction - ML Model
January 1, 2025 – January 1, 2025
Built a linear regression model in Scikit-learn to predict stock closing prices from historical OHLC data; evaluated performance using MAE and R² scores. Applied basic time-series feature engineering - lag features and rolling averages to improve accuracy over a simple baseline approach. Documented the full workflow in a Jupyter Notebook with charts comparing predicted vs. actual prices for clear communication of results.
COVID-19 Trends - Tableau Dashboard
January 1, 2024 – January 1, 2024
Cleaned a publicly available COVID-19 dataset in MS-Excel by removing duplicates, standardising date formats, and filling missing values before loading into Tableau. Built a Tableau Public dashboard with country and date filters showing case trends, recovery rates, and mortality ratios using line and bar charts. Compared wave patterns across 5 countries and wrote a one-page interpretation report highlighting key differences in outbreak timelines.
Network Security
Cisco
January 1, 2025 – Present
Database Essentials and Vulnerabilities
IBM
January 1, 2025 – Present
Encryption & Cryptography Essentials
IBM
January 1, 2025 – Present
Introduction to Applied Cryptography
University of London
January 1, 2025 – Present
Generative AI Fundamentals
LinkedIn Learning
January 1, 2025 – Present
The Culinary Legacy of Ancient Bihar
BlueRose Publishers
January 1, 2025 – Present
EXIN Cloud Computing Foundation
EXIN
January 1, 2024 – Present
SQL for Data Science
Great Learning
January 1, 2024 – Present
EXIN BCS Artificial Intelligence Essentials
EXIN
January 1, 2023 – Present
Heritage Harvest
Journal of Advanced Research in Applied Science & Engineering Technology
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across various domains (retail, education, finance, public health). The certifications in AI, Cloud, and Security, alongside participation in hackathons, indicate a strong drive for continuous learning and a broad interest in related technical fields. The co-authored publications, while not directly data analysis, show initiative and a willingness to contribute to broader knowledge. The target role of Data Analyst aligns well with the candidate's stated interests and project experience.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience highlight collaboration with cross-functional teams and the ability to communicate data-backed insights to both technical and non-technical stakeholders. The emphasis on structured reporting and practical recommendations suggests a results-oriented approach. However, the short duration of the internship (1 month) limits the depth of operational experience.