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Data Analyst with 1+ years in Python & SQL for Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with hands-on experience in Python, SQL, Power BI, and machine learning for business intelligence and forecasting. Proven ability to design and automate ETL pipelines, build KPI dashboards, and deliver data-driven insights that reduce manual effort and improve decision-making accuracy. Experienced in time-series forecasting, statistical analysis, and API development using FastAPI. Seeking a challenging Data Analyst role to leverage strong analytical and engineering skills in a growth-oriented environment.
GH Raisoni Institute of Engineering & Technology
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
RAK SofTech
Data Analyst Intern
June 1, 2024 – December 1, 2024
Pune, Maharashtra, India
Acmegrade Pvt. Ltd.
Data Science Intern
May 1, 2023 – June 1, 2023
India
Sales Analytics Dashboard
January 1, 2026 – June 1, 2026
Designed and published interactive Power BI dashboards with KPI cards, trend analysis, and drill-through filters to support sales management decisions. Wrote complex SQL queries and DAX measures to aggregate, transform, and model data from multiple relational sources. Enabled self-service analytics for business users, reducing ad hoc reporting requests by ~25%.
Business Data Automation Pipeline
January 1, 2026 – June 1, 2026
Developed automated Python scripts for data cleaning, standardization, and report generation, eliminating repetitive manual workflows. Reduced repetitive data processing time by ~40% through scheduled automation and modular pipeline design.
ForecastIQ – End-to-End Time Series Forecasting System
January 1, 2026 – June 1, 2026
Engineered a production-grade forecasting system combining ARIMA, Facebook Prophet, and XGBoost to deliver multi-model sales predictions with automated model selection. Implemented advanced lag feature engineering and data preprocessing workflows, improving model accuracy by reducing RMSE by ~18% over baseline models. Built and deployed FastAPI REST endpoints to dynamically serve forecast predictions, enabling real-time consumption by downstream applications. Benchmarked models using RMSE and MAE metrics, creating a transparent performance comparison framework for stakeholder review.
Data Science Certification
Industry Recognized
June 1, 2026 – Present
Data Analytics Certification
Industry Recognized
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including forecasting systems, sales dashboards, and automation pipelines, indicates a proactive and versatile approach to data challenges. Their experience in translating data insights into actionable recommendations and collaborating with business teams suggests a good fit for a data-driven culture that values impact and teamwork. The certifications in Data Science and Data Analytics further show a commitment to continuous learning and professional development.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, attention to detail in data validation, and cross-functional collaboration skills, as evidenced by their project descriptions and internship experiences. Their focus on automation and efficiency aligns well with operational needs for streamlined data processes.