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Data Science with less than a year in Python, SQL, Power BI, 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
Data Analyst fresher with 9-month internship experience at AIVariant, skilled in Python, SQL, Power BI, and Machine Learning. Built real-world projects including a Product Recommendation System and Sales Analysis Dashboard. Passionate about turning raw data into clear, actionable insights to support business decisions.
Srinivasa Ramanujan Institute of Technology, Andhra Pradesh
Bachelor of Technology · Mechanical Engineering
August 1, 2022 – June 1, 2025
GVIC Madanapalle
Diploma
June 1, 2019 – March 1, 2022
ZPHS School
SSC
June 1, 2018 – March 1, 2019
AIVariant
Data Science Intern
June 1, 2025 – March 1, 2026
India
Product Recommendation System
January 1, 2025 – December 31, 2025
Built a content-based and collaborative filtering model to recommend products based on user preferences. Used TF-IDF and cosine similarity for relevance scoring; evaluated with precision and recall metrics. Cleaned and preprocessed large datasets with Pandas, handling missing values and feature engineering.
View ProjectSales Analysis & Dashboard
January 1, 2025 – December 31, 2025
Designed an interactive Power BI dashboard to track sales trends, revenue, and regional performance. Analyzed transactional data using Python and SQL to compute KPIs and derive business insights. Created dynamic slicers and drill-through reports for stakeholder-level data exploration.
Python for Data Science
IBM SkillBuild
June 1, 2026 – Present
Data Science Program
Excelar Academy
June 1, 2026 – Present
Data Science Internship Certificate
AIVariant
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a good breadth of data science applications, including recommendation systems and sales analysis, which aligns well with typical industry needs. The internship experience at AIVariant further solidifies their exposure to real-world data analytics. The candidate's educational background in Mechanical Engineering, combined with data science certifications and projects, shows adaptability and a strong interest in transitioning into the data science field. The diversity of projects and tools used indicates a willingness to learn and apply various technologies.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end data analysis tasks, from data preprocessing to visualization and model evaluation. Participation in webinars and tech clubs suggests a proactive learning attitude. However, without specific psychometric or English test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly. The communication quality in project descriptions is clear and concise.