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Data Science with less than a year in Machine Learning & Data Analytics
MCA graduate with hands-on experience in Python, SQL, Power BI, and Machine Learning through academic projects and internship experience. Skilled in data cleaning, exploratory data analysis, data visualization, and predictive modeling to extract meaningful insights from data. Experienced in working with structured datasets, building analytical solutions, and presenting findings through reports and dashboards. Strong analytical and problem-solving abilities with a keen interest in Data Analytics, Data Science, and Business Analysis.
Shree Navchetan School
HSC - Gujarati Medium · Gujarati Medium
N/A – May 31, 2021
S. K. Patel institute of Management and computer studies
Master of Computer Applications (MCA) · Computer Applications
N/A – June 30, 2026
Shree H. N. Shukla Colleges of IT & Management
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2024
Shree Navchetan School
SSC - Gujarati Medium · Gujarati Medium
N/A – May 31, 2019
BrainyBeam Technologies Pvt. Ltd.
Data Science & Machine Learning Intern
December 1, 2025 – May 1, 2026
Ahmedabad, Gujarat, India
Netflix Movies & TV Show Analysis
June 17, 2026 – Present
Analyzed Netflix content data using PostgreSQL to study trends across genres, countries, ratings, and content types. Utilized joins, CTEs, subqueries, and window functions to solve business-oriented analytical questions. Generated insights on content distribution, audience preferences, and release trends through SQL-based analysis. Improved data querying and analytical skills by working with complex datasets and real-world scenarios.
View ProjectTelco Customer Churn Analysis
June 17, 2026 – Present
Cleaned and prepared customer data for analysis by handling missing values and ensuring data consistency. Performed exploratory data analysis to identify factors influencing customer churn and retention. Created visualizations and dashboards to communicate customer behavior patterns effectively. Generated insights that could support customer retention and engagement strategies.
View ProjectRetailPulse SQL Analytics
June 17, 2026 – Present
Designed a relational database consisting of customer, sales, inventory, employee, and supplier information. Developed 60+ SQL queries using joins, aggregate functions, CTEs, and window functions for business analysis. Analyzed customer behavior, product performance, and revenue trends to identify key business insights. Generated reports highlighting top-performing products, valuable customers, and sales growth opportunities.
View ProjectFact Finder-Fake News Detection
June 17, 2026 – Present
Collected and preprocessed news article data by cleaning text and preparing features for machine learning models. Built and evaluated classification models using Scikit-learn to identify fake and genuine news articles. Achieved an F1-score of 0.94 on a dataset containing over 5,000 news articles. Visualized model performance and key findings using analytical reports and dashboards.
View ProjectCertificate of Accomplishment SQL(Basic)
HackerRank
May 1, 2026 – Present
Introduction to SQL & work with MySQL
SimpliLearn
April 1, 2025 – Present
Analyzing & Visualizing Data with Microsoft Power BI
SimpliLearn
April 1, 2025 – Present
LARAVEL framework & WordPress CMS
LDRP Institute of Technology & Research
January 1, 2025 – Present
UI/UX for beginners
Great Learning
November 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity, covering SQL analytics, churn analysis, and fake news detection, show a broad interest in various data science applications. The internship experience aligns well with the target role, indicating a clear career path. The certifications in SQL and Power BI further demonstrate a commitment to continuous learning and skill development. However, all projects are academic, and the single internship is relatively short, which might indicate limited exposure to diverse corporate cultures or large-scale team environments. The candidate's profile suggests a good fit for a learning-oriented and technically focused team.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving abilities, as evidenced by their project work in data analysis and predictive modeling. Their academic projects and internship indicate a proactive approach to learning and applying technical skills. The focus on business-oriented analytical questions and generating insights suggests a good operational fit for roles requiring data-driven decision-making. However, the lack of real-world team collaboration experience beyond an internship limits the assessment of advanced soft skills like conflict resolution or cross-functional leadership.