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Data Analyst with 2+ years in Python, Power BI & SQL
Results-driven Data Analyst with 2+ years of experience in analyzing complex business data and transforming it into actionable insights that drive operational efficiency and informed decision-making. Skilled in Machine Learning, Python, Power BI, SQL and Excel, with hands-on experience in dashboard development, business intelligence, data modeling, KPI reporting, data visualization, and reporting automation. Proven expertise in building interactive dashboards, optimizing reporting processes, and developing data-driven solutions that enable stakeholders to monitor performance and identify growth opportunities. Experienced in collaborating with cross-functional teams, gathering and translating business requirements into analytical solutions, performing statistical analysis, and leveraging data to solve real-world business challenges. Strong analytical mindset with practical experience in Power BI, SQL Server, Excel VBA, and predictive analytics, complemented by a continuous focus on improving data quality, process efficiency, and business outcomes.
ItVedant
Data Science and Analytics · AI
August 1, 2024 – June 30, 2025
MGM College of Engineering and Technology, Navi Mumbai
B.E. In Computer Engineering · Computer Engineering
August 1, 2021 – June 30, 2024
Vidyalankar Polytechnic, Wadala
Diploma In Computer Engineering · Computer Engineering
August 1, 2018 – June 30, 2021
Auracle Facilities Management Services
Data Analyst
May 1, 2024 – Present
India
Trivia Software's
Python Developer Intern
November 1, 2022 – February 1, 2023
India
Ideatore
Web Developer Intern
May 1, 2022 – August 1, 2022
India
Loan Default Prediction
June 1, 2026 – Present
Built a Decision Tree model to classify loan applicants based on their credit history, risk of default, etc.
Bank Loan Performance & Risk Analysis Dashboard
June 1, 2026 – Present
Developed an interactive Power BI dashboard to analyze loan distribution, repayment behavior, and credit risk using financial loan data for data-driven decision-making.
Multi-Stock Trading Analytics Dashboard
June 1, 2026 – Present
Engineered a dual-theme Power BI dashboard for 13 NSE-listed stocks with OHLC candlestick analytics, dynamic filtering, and a DAX-driven automated color theming system.
Stock Price Prediction & Trading Signal System
June 1, 2026 – Present
Built an end-to-end system to forecast stock prices and generate Buy/Sell signals using machine learning, enabling data-driven trading insights and decision-making.
IPL Data Analysis
June 1, 2026 – Present
Analysed past data of IPL History the wining and the Losings of different teams and their Man-of- the-Match using SQL
ERP Technical Course: PeopleSoft Ver 9.2 from Shine Software
Shine Software
December 1, 2024 – Present
SAP Advance Course Certified Python, Machine Learning, Deep Learning, Computer Vision and IoT
SAP
April 1, 2024 – Present
IBM Certified Machine Learning for Data Science Project
IBM
February 1, 2024 – Present
Microsoft Certificates in Python and Data Visualization
Microsoft
December 1, 2023 – Present
AWS Community Builders Certificate for successful completion of HOTSTAR Clone
AWS Community Builders
December 1, 2023 – Present
Google Developer Group Certificates in Python and Artificial Intelligence Bootcamp
Google Developer Group
December 1, 2023 – Present
Machine Learning Certification
Kamal Classes
April 1, 2023 – Present
AWS Certified Azure AI Fundamentals
Unknown
March 1, 2023 – Present
Python Certification
COURSERA Learning Platform
August 1, 2020 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects in stock prediction, loan analysis, and IPL data analysis, shows a broad interest in applying data analytics to various domains. Their experience in both a full-time Data Analyst role and internships, coupled with numerous certifications, indicates a proactive and continuous learning mindset. The leadership experience in a small team also suggests a collaborative and responsible approach, aligning well with a dynamic work environment.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as teamwork, problem-solving, and communication, which are crucial for a Data Analyst role. Their experience in leading initiatives and acting as a bridge between clients and internal teams indicates good operational fit and leadership potential. The automation achievements highlight a focus on efficiency and process improvement.