Data Analyst with less than a year in Data Analytics and Machine Learning.
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Assessing your cultural and operational fit
BCA graduate (University of Allahabad, 2025) with 6 months of hands-on Data Analytics internship experience and 3 production-deployed ML projects. Skilled in Python, SQL, Scikit-learn, Power BI, and end-to-end model development from raw data cleaning to live Streamlit deployment. Rated par excellence by internship mentor. Seeking a full-time Data Analyst.
University of Allahabad
Bachelor of Computer Applications (BCA)
August 1, 2022 – June 30, 2025
Maharashtra Board
High School
N/A – May 31, 2020
UP Board
Intermediate
N/A – May 31, 2022
Humming Byte Technologies Pvt. Ltd.
Data Analytics Intern
July 1, 2024 – December 31, 2024
Nashik, Maharashtra, India
SMS / Email Spam Classifier
June 23, 2026 – Present
Built a complete NLP pipeline (tokenization → stopword removal → Porter stemming → TF-IDF → Multinomial Naive Bayes). Benchmarked 11 ML models, achieving 97.49% accuracy and 100% precision (zero false positives). Serialized model and vectorizer with Pickle and deployed live on Streamlit Cloud for real-time spam detection immediately usable by end users without any setup.
View ProjectMumbai House Price Prediction
June 23, 2026 – Present
Built a real estate price prediction model for Mumbai preprocessed mixed price units (Crore/Lakh → INR), removed outliers via IQR, and encoded 40+ locality categories. Evaluated with R2, RMSE, MAE, and K-Fold CV, achieving best model R² ≈ 0.95. Containerized the full application with Docker and deployed it as a live Streamlit app users input locality, square footage, BHK, and bathrooms to receive instant INR price estimates.
View ProjectMovie Recommendation System
June 23, 2026 – Present
Engineered a content-based recommendation engine on the TMDB 5000 dataset merged genres, keywords, cast, director, and plot into unified tag vectors per movie, then applied CountVectorizer with Cosine Similarity for pairwise distance computation. Packaged the similarity matrix with Pickle and deployed an interactive Streamlit app delivering 5 contextually accurate movie recommendations per user selection in real time.
View ProjectCultural Fit Analysis
The candidate's diverse personal projects (NLP, recommendation systems, regression) showcase a broad interest in data science applications, which aligns well with a dynamic data analyst role. The focus on deploying live applications indicates a results-oriented approach. The internship experience in a cross-functional team suggests an ability to collaborate and communicate with non-technical stakeholders. The candidate's current education level (BCA, graduating 2025) indicates a foundational academic background, but the practical experience and projects compensate significantly. The candidate appears to be a proactive learner and builder, which is a good cultural fit for roles requiring continuous skill development and practical output.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and quality in their internship, as noted by their mentor. Their project descriptions indicate a problem-solving mindset and an ability to translate technical work into user-friendly applications. The deployment of multiple projects suggests a drive for practical application and completion. However, without specific psychometric test results, a deeper assessment of logical reasoning, stress handling, and team collaboration is limited.