Back to Developers
Marka Pranay

Marka Pranay

Data Analyst

Hyderabad, India
80
Profile Score

About

Detail-oriented Data Analyst with strong expertise in SQL, Excel, Python, and Power BI, experienced in analyzing large datasets from product, marketing, and user behavior domains. Skilled in data cleaning, data transformation, dashboard development, automated reporting, A/B testing principles, cohort analysis, funnel analysis, and performance tracking. Experienced in supporting AI/ML initiatives through data preparation and model evaluation. Strong ability to translate complex data into actionable insights that improve user journeys, retention, and business outcomes.

Skills & Expertise (46)

Python Advanced
8.1/10
1
Years Exp
Power BI Advanced
8.0/10
1
Years Exp
SQL Intermediate
7.5/10
1
Years Exp
ARIMA Dashboard Creation KPI Reporting Automated Reports Interactive Dashboards Data Storytelling Performance Monitoring scikit-learn Time Series Forecasting Trend & Anomaly Detection SARIMA XGBoost Classifier Predictive Analytics Model Evaluation RMSE MAE MSE Data Preparation for AI/ML Projects Jupyter Notebook Git GitHub Pivot Tables Postgresql Microsoft SQL Server Large Dataset Analysis Data Cleaning Data Transformation Data Validation Advanced Excel Google Sheets VLOOKUP XLOOKUP Performance Metrics Tracking Power Query Pandas NumPy Matplotlib Seaborn Exploratory data analysis Statistical Analysis A/B Testing Principles Cohort Analysis Funnel Analysis

Work Experience

Data Analytics & Data Science Intern

Zidio Development

Jul 2025 - Oct 2025

Project 1: Stock Price Forecasting & Business Dashboard - Collected, cleaned, and analyzed large datasets using Python (Pandas) to ensure data accuracy and reliability. Conducted exploratory data analysis to identify trends, seasonal patterns, and anomalies. Developed time-series forecasting models (ARIMA, SARIMA) and evaluated performance using RMSE, MAE, and MSE. Built interactive Power BI dashboards integrating forecasting outputs with KPIs for data-driven decision-making. Automated reporting processes for performance monitoring. Collaborated with technical teams to ensure proper data preprocessing and validation for AI models. Project 2: Customer Churn & Sales Analytics - Analyzed customer behavior datasets to identify churn patterns and high-risk segments. Built predictive models using XGBoost to support retention strategy improvements. Conducted cohort analysis and funnel analysis to evaluate customer lifecycle and engagement. Designed KPI dashboards in Power BI to track churn rate, sales metrics, and user performance indicators. Delivered actionable insights to improve retention and business growth strategies.

Education

Bachelor of Technology (B.Tech) – Artificial Intelligence & Machine Learning - Mahaveer Institute of Science & Technology

- 2026 · Afghanistan

Interested in this developer?

Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceFeb 2026

Availability Details

Visa Status

Citizen

Relocation

Open to Relocation

Skills (46)

Python Power BI SQL ARIMA Dashboard Creation KPI Reporting Automated Reports Interactive Dashboards Data Storytelling Performance Monitoring +36 more