Resume

ZIA UL DIN

Islamabad, PK | +923117263544| ziadin.544@gmail.com | linkedin.com/in/zia-ul-din

SUMMARY

As a data-driven problem solver, I specialize in transforming complex datasets into actionable insights using Python, SQL, and Power BI to optimize decision-making and business performance. With expertise in data analysis, predictive analytics, and AI integration, I recently developed an AI-powered voice chatbot leveraging Groq’s Distil-Whisper and Llama 3, enabling real-time speech-to-text transcription and intelligent responses. Passionate about bridging data analytics and AI-driven automation, I aim to drive innovation through NLP, machine learning, and business intelligence, helping organizations harness the power of data and AI for scalable growth and efficiency.

EXPERIENCE

AI Chatbot Developer / Data Analyst | Upwork (Freelance) March-2024 – Present

□ Specialized in transforming complex data sets into actionable insights for diverse clients across various industries.

□ Extracted, cleaned, and validated data from multiple sources to ensure accuracy and consistency.

□ Utilized tools like Python, SQL, and Power BI for detailed analyses and creating interactive visualizations highlighting key trends and insights.

□ Collaborated closely with clients to understand their needs, providing tailored data solutions and ensuring satisfaction with delivered results. Managed multiple projects simultaneously, adhering to deadlines and maintaining high-quality standards.

□ Developed comprehensive reports and dashboards to enable clients to make data-driven decisions efficiently.

□ Stayed updated with the latest data analysis techniques and tools, continuously improving skill set to deliver optimal outcomes for clients. Delivered exceptional service to clients on a global platform.

Data Analyst Intern | The Spark Foundation July-2024 – Aug-2024

□ Collected, cleaned, and analyzed data to support multiple projects, ensuring data accuracy and integrity.

□ Developed interactive dashboards and reports using Power BI and Excel to track key performance metrics.

□ Conducted exploratory data analysis (EDA) to uncover trends and patterns, driving actionable insights.

□ Analyzed large datasets from various sources and integrated them into unified reporting systems.

□ Implemented data validation techniques to ensure data quality and consistency across multiple projects.

□ Conducted competitor and market analysis to identify key industry trends and opportunities.

EDUCATION

BS Business Analytics

3.68/4.00 CGPA

International Islamic University Islamabad (IIUI), Islamabad, PK

2021 – 2025

CERTIFICATIONS

Machine Learning by Andrew NG

2025

Coursera, USA

GeoSpatial Analysis, Kaggle

2024

Kaggle, USA

Data Analytics Essentials, IBM

2024

IBM Coursera, USA

Introduction to Data Concepts, IBM

2024

IBM SkillBuild, USA

Google Data Analytics 2023

Coursera, Google, USA

AWARDS

Prime Minister Youth Laptop Program Awardee 2024

International Islamic University Islamabad (IIUI), Islamabad, PK

Issued by Higher Education Commission, Government of Pakistan | Jan 2024
Recognizes academic excellence and dedication to advancing technology and education among the youth.

PROJECTS

AI-Powered Voice Chatbot Using Groq API

Jan 2025 - Feb 2025

□ Problem: Lack of an interactive voice-based AI chatbot capable of real-time speech-to-text transcription and AI-powered responses. Need for a seamless, responsive UI that integrates Groq's Distil-Whisper and Llama 3 models.

□ Action: Developed a Gradio-powered chatbot deployed on Hugging Face Spaces, integrating Groq’s AI models for accurate transcription and intelligent responses. Designed a modern UI with styling, improving user experience and accessibility. Optimized speech processing and AI-generated conversations, ensuring high-quality outputs.

□ Result: Successfully built and deployed the chatbot, providing real-time transcription and AI-powered responses with high accuracy. Enabled seamless AI-driven interactions, enhancing accessibility for users across industries.

Skills: Natural Language Processing (NLP), Speech-to-Text (STT), AI Model Integration, Python, API Development, Gradio, Hugging Face, RAG

Enhancing Operational Efficiency and Profitability at Hayat Pharma Rawalpindi

Apr 2024 - May 2024

□ Problem: Fluctuations in sales data without a clear pattern, complicating future performance forecasts. Variability in metrics such as customer numbers, lifespan, and average purchase value, obscuring the effectiveness of retention strategies. Wide variations in net profit and operating expenses, affecting accurate measurement of profitability and operational efficiency.

□ Action: Seasonal promotions and loyalty programs to stabilize sales. Personalized marketing and customer engagement initiatives to enhance retention. Cost optimization and investment analysis to improve profit margins and ROI

□ Result: The analysis provided valuable insights into the pharmacy's performance, leading to targeted initiatives aimed at stabilizing sales, optimizing customer retention, and improving profitability. These efforts will support Hayat Pharma in achieving sustainable growth and long-term success.

Skills: Data Analysis, Forecasting, Customer Retention Strategies, Marketing, Cost Optimization, Investment Analysis, Performance Metrics Evaluation

Developing a Robust Multilayer Perceptron Model for Accurate Forecasting of Crop Export Values

Mar 2024 – April 2024

□ Problem: Forecasting the crop export value for coming 3 years based on past 20 years data of different countries. Data quality and missing values. Risk of overfitting. Need for feature selection and transformation

□ Action: Imputed or removed missing data. Conducted Exploratory Data Analysis (EDA) for feature selection. One-hot encoded categorical variables. Standardized numerical features. Combined numerical and categorical features into a single matrix. Split data into training (80%) and testing (20%) sets. Implemented a preprocessing pipeline. Designed an MLP model with specific layers and activation functions. Applied techniques to prevent overfitting (train-test split, validation split, early stopping, regularization, dropout, data swapping, simplifying the model)

□ Result: Evaluated model performance using Mean Squared Error (MSE). Ensured good generalization and accurate predictions on unseen data. Successfully forecasted export value of crop products three years into the future.

Skills: Data Imputation, Exploratory Data Analysis (EDA), Feature Selection, One-Hot Encoding, Data Standardization, Model Design (MLP), Overfitting Prevention, Model Evaluation (MSE)

Strategic Market Segmentation and Data-Driven Solutions for Boosting Sales in Queensland for 99 Bikers

Feb 2024 - Feb 2024

□ Problem: Decreasing sales and declining profitability. Significant sales disparities between Queensland, Victoria, and New South Wales. Limited market insight into customer preferences in Queensland. Inefficient distribution networks and logistical barriers. Ineffective marketing campaigns in Queensland. Lack of product differentiation for Queensland consumers.

□ Action: Conducted market segmentation (geographic, demographic, psychographic, behavioral), collected customer insights, analyzed competition, developed strategies for Queensland, and implemented business intelligence dashboards.

□ Result: Enhanced market insight into Queensland customer preferences, developed targeted marketing campaigns, improved distribution logistics, and increased sales through effective strategies.

Skills: Market Segmentation, Customer Insights, Competitive Analysis, Strategic Planning, Business Intelligence Dashboard Implementation

Developing a User-Friendly Big Data Visualization Tool for Government Officials Using Power BI

Jun 2023 - Aug 2023

□ Problem: Design a Big Data visualization product for junior government officials with limited knowledge of data science. Enable officials to visualize data compellingly for professional data-driven journalists.

□ Action: Chosen Power BI for its ease of use and integration. Followed Agile methods for development, including data pre-processing, testing, and deployment. Validated data, identified outliers, and collected feedback. Managed risks, communicated regularly, and ensured the product supported decision-making and customer satisfaction.

□ Result: Developed and deployed a user-friendly Power BI tool, enhancing data visualization for officials. Received positive feedback and improved government operations, transparency, and decision-making. Built strong relationships with the government team and positioned the product for public service and policy development.

Skills: Power BI, Data Visualization, Agile Development, Data Validation, User Feedback, Risk Management

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