Summary
Overview
Work History
Education
Skills
Websites
Certification
LANGUAGES
Timeline
KEY ACHIEVEMENTS
Hobbies and Interests
Generic

SHAIKH KHWAJA

Hydrabad

Summary

Detail-oriented Data Analyst skilled in Python, SQL, Excel, Power BI, and advanced analytics techniques including machine learning, deep learning, and NLP. Proven ability to convert complex datasets into actionable insights through exploratory data analysis, visualization, and predictive modeling. Strong foundation in AI and prompt engineering, adept at applying technical and analytical expertise to solve real-world challenges. Committed to leveraging data-driven strategies to support innovative solutions in data analytics, data science, and AI-driven projects.

Overview

1
1
Certification

Work History

Retail Sales Analysis & Forecasting

Friends
08.2025 - 09.2025
  • Company Overview: Company Description
  • Analyzed a retail sales dataset containing product categories, customer details, and revenue trends.
  • Used Python, SQL, and Excel to identify best-selling products, seasonal demand, and customer purchasing behavior.
  • Built a Power BI dashboard to visualize sales by region, month, and customer segment.
  • Implemented a time series forecasting model (ARIMA/Prophet) to predict future sales and assist in demand planning.
  • Collaborated with team members: one worked on SQL queries, another on machine learning forecasting, and I focused on dashboard design and insights.

Education

Bachelors Of Computer Applications -

Swami Ramanand Teerth Marathwada University
07.2025

Skills

  • Python, SQL, Excel, Power BI, Matplotlib, Seaborn, Regression, Classification, Clustering, Deep Learning, Neural Networks, Natural Language Processing, Hypothesis Testing, Probability, Correlation & Regression Analysis, Data Cleaning, Exploratory Data Analysis, Prompt Engineering, GitHub, Version Control, Presentation & Storytelling with Data

Certification

  • Python for Data Science – Coursera
  • SQL for Data Analysis – Mode Analytics / Kaggle
  • Statistics & Probability for Data Science – Khan Academy / Coursera
  • Data Visualization with Power BI – Microsoft Learn
  • Prompt Engineering for AI Applications – DeepLearning.AI (OpenAI Collaboration)
  • DataScience - NareshIT Hydrabad

LANGUAGES

English (Intermediate)

Timeline

Retail Sales Analysis & Forecasting

Friends
08.2025 - 09.2025

Bachelors Of Computer Applications -

Swami Ramanand Teerth Marathwada University

KEY ACHIEVEMENTS

  • Successfully completed team-based academic projects on Retail Sales Analysis and E-commerce Customer Insights, delivering actionable insights through Python, SQL, and Power BI dashboards.
  • Built and deployed machine learning models (classification, regression, forecasting) that achieved accuracy levels of 80%+ in predicting outcomes.
  • Designed interactive dashboards in Power BI to visualize trends, KPIs, and customer behavior, improving data storytelling for presentations.
  • Recognized in academics for collaborative teamwork, handling data cleaning, visualization, and business reporting in group projects.
  • Completed online courses and self-learning in Machine Learning, Deep Learning, Statistics, and Prompt Engineering, applying them in practical mini-projects.
  • Developed strong foundation in data-driven decision making, showcased through academic assignments using Excel, SQL queries, and Python scripts.

Hobbies and Interests

Passionate about leveraging data-driven insights to solve real-world business challenges., Keen interest in Data Analytics, Machine Learning, Deep Learning, and Natural Language Processing to build intelligent solutions., Enthusiastic about data visualization and storytelling, turning complex datasets into meaningful insights for decision-making., Curious about AI applications and prompt engineering, exploring how generative AI can transform industries., Long-term goal: to grow into a Data Scientist / AI Specialist role and contribute to innovation in AI-powered products.
SHAIKH KHWAJA