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Data Analyst with less than a year in Data Analysis & Visualization and Dashboard Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with hands-on experience in data analysis, reporting, and dashboard development through an industry internship and academic projects. Skilled in SQL, Excel, Power BI, and Python to clean, analyze, and visualize data, automate reporting workflows, and deliver actionable insights for business decision-making.
MET BKC Institute of Engineering, Nashik
Bachelor of Engineering · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
Psyliq IT Services
Data Analyst Intern
April 1, 2024 – June 30, 2024
India
HR Analytics & Workforce Planning
June 1, 2026 – Present
Engineered SQL analytical frameworks using CTEs and Window Functions to segment employee performance and attrition data. Integrated multi-source HR datasets to analyze attrition patterns and tenure distribution, enabling deeper workforce insights. Developed DAX-driven KPIs in Power BI to track attrition rates and employee lifecycle milestones across departments. Deployed interactive dashboards visualizing high-risk attrition segments to support proactive retention strategies.
View ProjectCustomer Profitability & Revenue Analysis
June 1, 2026 – Present
Developed a profitability framework integrating revenue and cost datasets to evaluate regional business performance. Designed Power BI dashboards using DAX for YoY, YTD, and variance analysis of financial metrics. Analyzed margin drivers to identify underperforming regions and high-value customer segments. Enabled actual vs. budget tracking through interactive filters and drill-down reporting for stakeholders.
View ProjectFeedback Analysis using LSTM Algorithm
June 1, 2026 – Present
Developed end-to-end text analytics pipeline using Python and LSTM models to analyze 10,000+ unstructured records. Achieved ~85% sentiment classification accuracy through effective preprocessing and deep learning model tuning. Analyzed and visualized sentiment trends to identify key satisfaction drivers and areas for improvement.
IBM Data Science Professional Certificate
IBM
June 1, 2026 – Present
Zensar Python Developer
Zensar
June 1, 2026 – Present
AI Operations Training
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like customer profitability, HR analytics, and sentiment analysis, showcasing adaptability and a broad interest in applying data analysis to different business problems. The combination of traditional BI tools (Power BI, SQL) with Python and machine learning indicates a willingness to learn and integrate new technologies, which aligns with a dynamic, data-driven culture. The internship experience suggests an ability to contribute to real-world business objectives.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to problem-solving through project work, such as identifying underperforming regions and high-risk attrition segments. Their internship experience highlights an ability to optimize workflows and standardize processes, indicating a focus on operational efficiency and reliability. The academic projects show an ability to work independently and deliver end-to-end solutions.