Headline

Data Scientist & Data Analyst | Python · SQL · Power BI · Machine Learning | IIT Indore Certified | Open to Work

About

🔍 Turning raw data into real business decisions. I'm a Data Scientist & Analyst with hands-on experience in end-to-end Machine Learning pipelines, Exploratory Data Analysis (EDA), and Business Intelligence dashboards. 🎓 Certified in AI & Data Science from IIT Indore (via Intellipaat) 🏢 Virtual experience with Deloitte Australia & Mastercard (via Forage) 💼 Interned as Data Science & Analytics Intern at Future Interns ⚙️ My Core Stack: → Languages: Python · SQL · Advanced Excel → ML: Random Forest · XGBoost · Logistic Regression · K-Means · Time-Series (Prophet) → BI Tools: Power BI (DAX) · Tableau · Jupyter Notebook → Libraries: Pandas · NumPy · Scikit-learn · Matplotlib · Seaborn 📊 What I've Built: → COVID-19 Forecasting using Facebook Prophet → Customer Churn Analysis with K-Means + Power BI Dashboard → Car Price Prediction using ML regression models → Marketing Funnel & Conversion Rate Analysis → Business Sales Performance Dashboard (Executive-Level) → Flight Price Prediction using Regression Modeling 💡 Passionate about Generative AI, Predictive Modeling, and making data tell stories that drive decisions. 📍 Open to: Data Analyst | Data Scientist | Business Analyst roles 📍 Location: Mumbai | Pune |Indore |Bhopal | Remote | Hybrid 📬 Let's connect: akshatkesharwani12345@gmail.com 🔗 Portfolio: https://akshatkesharwani-info.github.io/

Location

Sagar

Work experience

Business Owner at Dreamsquad

Data Science & Analytics Intern at Future Interns, Mar 2026 - Present · 4 mos, remote, - Executed end-to-end data cleaning, preprocessing, and EDA on real-world datasets to ensure data quality for downstream analytics. - Performed statistical analysis to identify revenue growth trends, customer behavior patterns, and key business insights from structured datasets. - Designed 3+ interactive KPI dashboards using Power BI and Advanced Excel to improve data storytelling and enable data-driven stakeholder decisions. - Applied supervised ML algorithms (Random Forest, Linear Regression) for predictive analytics and business forecasting. - Delivered comprehensive analysis reports with actionable, data-driven recommendations to optimize business performance.

Data Analytics Job Simulation Participant at Deloitte Australia (via Forage), Nov 2025 - Present · 8 mos, Remote, Completed Deloitte Australia's Data Analytics Virtual Job Simulation on Forage. - Analyzed business datasets and created data-driven insights to support strategic decision-making. - Built visualizations to communicate findings clearly to stakeholders. - Gained hands-on experience in real-world data analytics workflows used at Deloitte.

Cybersecurity Virtual Experience Participant at Mastercard (via Forage), Nov 2025 - Present · 8 mos, Remote, Completed Mastercard's Cybersecurity Virtual Experience Program on Forage. - Identified security vulnerabilities and analyzed potential threats in simulated business scenarios. - Developed strategies to address cybersecurity risks and protect business data.

Education

Bachelor's Degree, Computer Software Engineering, Intellipaat School of Technology

Bachelor of Commerce (B.Com), Business/Commerce, General, Pt. Deendayal Upadhyay Govt. Arts & Commerce College, Sagar