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MD SHAGHAF NEYAZI

@mdshaghafneyazi

Data analyst at Infotact Solutions who developed Power BI dashboards and built a stock analytics and forecasting platform.

India

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What I'm looking for

B.Tech graduate in Information Technology seeking entry-level opportunities in Data Analytics, Data Science, and Business Analytics. Skilled in Python, SQL, Excel, Pandas, NumPy, Power BI, and data visualization. Eager to apply my skills, learn, and contribute to data-driven projects.

At Infotact Solutions, I cleaned and preprocessed data, extracted data with SQL, and developed dashboards and analytical reports using Python, Excel, and Power BI.

I built the Equity Research Terminal, a Python and Streamlit platform for stock analytics and forecasting. It includes CAPM risk modeling, an Auto-ARIMA forecasting pipeline, and technical and fundamental indicators.

For my Vendor Performance Analysis project, I used Python, SQL, and SQLite to analyze vendor metrics, pricing trends, and procurement patterns, then created dashboards and visual reports.

Experience

Work history, roles, and key accomplishments

Data Analytics Intern

Infotact Solutions

Performed data cleaning, preprocessing, and SQL-based data extraction for business reporting. Developed dashboards and analytical reports using Python, Excel, and Power BI, and automated reporting workflows to improve efficiency.

EDA Data Cleaning data preprocessing SQL Python Excel Power BI Exploratory Data Analysis Report Automation

Education

Degrees, certifications, and relevant coursework

Bhai Gurdas Institute of Engineering and Technology

Bachelor of Technology, Information Technology

2022 - 2026

Grade: 7.25

Activities and societies: Participated in academic and technical activities related to Information Technology, including Python programming, data analytics, SQL, and problem-solving. Worked on academic data analysis projects and developed practical skills through hands-on projects and technical learning.

Completed B.Tech in Information Technology with a strong foundation in Python, SQL, Data Structures, DBMS, Statistics, Data Analytics, and Data Visualization. Developed practical experience through data analysis projects involving data cleaning, exploratory data analysis, SQL, Pandas, NumPy, and visualization using Matplotlib and Power BI.