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Data Science with 2+ years in Python, SQL, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A recent Computer Science graduate with strong skills in Python, SQL, and data analysis. Experienced in developing machine learning applications, managing production and sales data, and creating interactive dashboards. Proficient in applying NLP techniques for text preprocessing and building web applications using Streamlit, demonstrating a keen focus on data-driven problem-solving and model deployment.
Guru Jambheswar University
B.tech · Computer science
August 1, 2018 – June 30, 2022
DG CORP.
Data Analyst
January 1, 2025 – Present
India
OUTLAY HOME
E-commerce Data Analyst
January 1, 2024 – January 1, 2025
India
Multiple Disease Classification
June 1, 2022 – Present
The goal of this project to classify different kind of disease in one single web app. Work on three different datasets apply cleaning and Data structuring, Apply LGBMClassifier model and gets 95 percent accuracy. Developed a web application for real-time Disease Classification using the Streamlit framework.
View ProjectMovie Recommendation Webapp — NLP
June 1, 2022 – Present
Built a movie recommendation webapp based on cosine similarity technique. Applied NLP techniques on a dataset from Kaggle for text preprocessing to clean and structure data, including vectorization, stemming, lemmatization, and stopword removal. Developed a web application for real-time movie recommendation using the Streamlit framework.
View ProjectGeeksforGeeks Profile: Solved more than 200+ coding problems.
GeeksforGeeks
June 1, 2026 – Present
Hackerrank Profile: Received certificates in python, Sql and Problem solving.
Hackerrank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative in applying data science concepts. The professional experience, while relevant to data, is more operational/analytical than research or model development focused. The breadth of skills is somewhat limited for a senior Data Science role, focusing on specific ML models and basic data analysis tools. The candidate appears to be early in their career, which might indicate a good fit for a learning-oriented environment but less so for a senior role requiring independent strategic contributions.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to complete defined tasks and apply learned techniques. However, the professional experience is primarily in data analysis using basic tools, which may not fully align with the advanced problem-solving and strategic thinking required for a senior Data Science role. The lack of detailed descriptions for professional roles limits the assessment of operational fit beyond basic data handling.