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Data Analyst with less than a year in AI/ML, Python, and Data Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in data collection, cleaning, and analysis using Excel, SQL, and Python. Skilled at interpreting complex datasets, building reports and dashboards, and translating raw data into clear, actionable business insights. Strong analytical and problem-solving ability combined with good communication skills for presenting findings to teams. Seeking an entry-level Data Analyst role to support data-driven decision-making.
CSMSS Chh. Shahu College of Engineering, Aurangabad
B.Tech · Artificial Intelligence and Data Science
November 1, 2022 – June 1, 2026
Adarsh Vidhyalaya Junior College, Manatha, Maharashtra
XII (Science)
June 1, 2021 – May 31, 2021
Adarsh Vidhyalaya Junior College, Manatha, Maharashtra
X (SSC)
June 1, 2019 – May 31, 2019
PugArch Technology
AI/ML Intern
November 1, 2025 – April 30, 2026
Nashik, Maharashtra, India
Machine Learning Based Crop Recommendation System
June 16, 2026 – Present
Built an end-to-end data pipeline using 22 features, achieving ~98% prediction accuracy Performed data preprocessing, feature engineering, and comparative analysis to select the best-performing model Designed a complete data workflow from input through processing, prediction, and output Deployed an interactive Streamlit dashboard for real-time, user-facing recommendations
News Data Classification System
June 16, 2026 – Present
Built a data processing pipeline to clean, transform, and extract features from large unstructured text datasets Applied tokenization and TF-IDF techniques to prepare text data for analysis Developed a classification system using machine learning algorithms to categorize news data Designed an end-to-end workflow from data input through processing, classification, and output
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a proactive learning attitude and an interest in applying AI/ML concepts to real-world problems. The focus on data analysis and AI/ML aligns well with roles requiring innovation and data-driven decision-making. The academic background in Artificial Intelligence and Data Science, combined with practical project experience, suggests a good fit for a data-centric team culture. However, the experience is primarily academic and internship-based, which might require mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical and problem-solving abilities, along with good communication skills for presenting findings. The project descriptions indicate an ability to design and implement end-to-end workflows, suggesting a structured approach to problem-solving. The internship experience in automating data workflows points to an operational mindset focused on efficiency.