Open to Opportunities

Hi, I'm

Akshay Tiwari

Data Analyst

MCA'25 | Placement Coordinator | Indore
Turning data into decisions, building insights not just reports.

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📊

Projects

💻

Records

📈

Dashboards

🎯

Accuracy

🐍

Python

📊

Power BI

🗄️

SQL

📈

Analytics

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02.

About

I work with data to find patterns, build models, and create dashboards that help make better decisions. Currently pursuing MCA'25 and working as Department Placement Coordinator at my college.

My focus is on practical analysis—cleaning messy data, running statistical tests, building predictive models, and presenting insights clearly. I use Python, SQL, Excel, and Power BI depending on what the problem needs.

📊

Analysis

EDA, statistical testing, data cleaning

📈

Visualization

Dashboards, reports, storytelling

🤖

Modeling

Regression, classification, forecasting

🗄️

Databases

SQL queries, optimization, ETL

Without data, you're just another person with an opinion.

— W. Edwards Deming

03.

Skills

💻

Programming & Databases

Python

SQL

PostgreSQL

MongoDB

📊

Analysis Tools

🐼

Pandas

🔢

NumPy

Excel

🤖

Scikit-learn

📈

Visualization

📊

Power BI

📉

Tableau

📊

Matplotlib

🌊

Seaborn

🎯

Core Competencies

Data Analysis

EDA Statistical Analysis Data Cleaning Data Mining

SQL

Joins Window Functions CTEs Query Optimization

Machine Learning

Classification Regression Clustering Feature Engineering

Business Intelligence

KPI Development Dashboards Reporting Data Storytelling

04.

Projects

Heart Readmission Risk Prediction

Healthcare Analytics

Built logistic regression model on 5,000 patient records to predict 30-day readmission risk. Used SQL for data filtering and Pandas for feature engineering. Achieved 78% accuracy.

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                                5,000 records
                            

                                🎯
                                78% accuracy
                            

Python SQL Scikit-learn

View Code

Retail Customer Segmentation

Retail Analytics

RFM analysis on 8,000 transactions to segment customers. Top 20% contributed 55% of revenue. Built Power BI dashboard for CLV tracking and targeted retention strategies.

                                👥
                                8,000 transactions
                            

                                💰
                                55% revenue from top 20%
                            

Python Power BI Excel

View Code

Revenue Forecasting Model

Time series forecasting on 10,000 financial records. Extracted KPIs using SQL, performed profitability analysis in Excel. Built Python model with <10% forecast error.

10,000 Records

<10% Error

SQL Python Excel

Code

E-Commerce Conversion Funnel

Analyzed 15,000 website sessions to identify conversion bottlenecks. Found major drop-off at checkout. Built Power BI dashboard with funnel visualization and traffic source analysis.

15,000 Sessions

SQL Power BI Google Analytics

Code

WhatsApp Chat Analytics

Parsed 25,000 messages using Pandas. Analyzed user activity patterns, peak hours, and emoji usage. Built interactive Streamlit dashboard for engagement insights.

25,000 Messages

Python Pandas Streamlit

Code

View All Projects on GitHub

05.

Contact

Get in Touch

Open to data analyst roles, freelance projects, or collaborations. Feel free to reach out.

Email tiwariaksh25@gmail.com

WhatsApp +91 7999615408

LinkedIn /in/akshay--tiwari

GitHub Aksh4325

Certifications 🔗: Google Data Analytics • Microsoft Power BI • SQL for Data Science • Python for AI & ML • Advanced Excel