Data Analytics Specialist with BI & ML Expertise

Developed interactive Power BI and Tableau dashboards for customer and transaction data,

reducing manual reporting effort by 35% and providing leadership with real-time performance metrics.

Automated ETL pipelines using Python and SQL to integrate and process 500K+ records from multiple sources; improved data update frequency and accuracy (processing efficiency up 40%). Built predictive analytics models (Python sklearn) with ~85% accuracy to forecast customer booking trends and retention, enabling targeted marketing actions. Presented insights to non-technical stakeholders and worked with IT and product teams to ensure data models and reporting tools met business needs. Programming & Querying: Python (Pandas, NumPy, scikit-learn), SQL (advanced querying, data validation).

Data Visualization: Power BI (Desktop, Service, Power Query), Tableau, Matplotlib, Seaborn, Plotly.

Data Management: Data Cleaning, ETL Automation, Data Warehousing/Modeling, KPI Monitoring, Data Quality Assurance.

Analytics & Modeling: Exploratory Data Analysis (EDA), Regression, Classification, Predictive Analytics, A/B Testing.

Tools & Software: Advanced Excel (Power Pivot, Power Query, complex formulas), Microsoft Power Platform (Power Automate).

Soft Skills: Analytical Thinking, Effective Communication, Team Collaboration, Problem-Solving, Agile Methodologies.

Bachelor of Computer Applications (BCA) – University of Calicut, Kerala, India (Graduated 2023, First Class) Relevant Coursework: Data Structures, Database Management, Machine Learning, Financial Analysis. Data Analyst with over 2 years of international experience in the UAE and India, currently based in Riyadh with a transferable iqama. Proficient in the full analytics stack including Python, SQL, Machine Learning, ETL automation, and advanced Excel—for data analysis and predictive modeling. Expertise in developing interactive dashboards with Power BI and Tableau to translate complex data into actionable business intelligence. Demonstrated success in enhancing operational efficiency, such as reducing manual reporting time by 35% and improving data processing speed by 40%, to directly support strategic initiatives and improve operational results across key business functions. Created centralized KPI dashboards (Power BI, Excel) for student enrollment, fee collection and course performance; enhanced operational planning accuracy by 30%. Streamlined reporting and data workflows by automating Excel and Power BI processes, significantly reducing manual data entry and accelerating report delivery. Performed comprehensive data cleaning and quality assurance on academic and financial records, ensuring reliable datasets for analysis.

Developed predictive models (Python, SQL,) to forecast enrollment trends and fee payment patterns, informing strategic decisions on course offerings and resource allocation. Skills

Education

Work Experiences

Data Analyst–Air Retailer, Dubai, U.A.E. (Mar 2025 – Nov 2025) Professional Summary

Data Analyst – G Tec Computer Education, Kerala, India (Oct 2023 – Mar 2025) Tharique Najoomi k – Data Analyst

Riyadh Saudi Arabia +966********** **************@*****.*** Visa: Iqama - Transferable Linkedin Github Malayalam (Native)

English (Fluent, IELTS )

Hindi (Intermediate)

Arabic (Intermediate)

German (Beginner)

AWS Certified Business Analyst (Coursera)

Python Developer Certification (Bluegen IT Solutions) Tata Group – Data Visualization Certificate

Excelerate – Data Analyst Program Certificate

Generative AI & Reinforcement Learning (Udemy)

IELTS (2024) – Overall Band 7

Artificial Intelligence A–Z: Agentic AI and Reinforcement Learning Generative AI with Large Language Models (LLMs)

Complete Data Science Bootcamp (2025)

Designed and developed interactive dashboards using Microsoft Excel, Power BI, and Tableau to analyze corporate customers’ financials, travel itineraries, and fare data; leveraged SQL, Python (Pandas), and ETL workflows to enable real-time revenue optimization for over 50 clients while reducing manual reporting by 35%.

Designed and implemented dynamic BI dashboards using Tableau and Power BI to monitor key customer service metrics, enhance multi-departmental reporting efficiency, and provide real-time actionable insights for risk management strategies.

Projects

Languages

Certificates

Relevant Coursework

Airline Customer Dashboard Optimization

CompetitorFare Intelligence &Dynamic Pricing

Credit Risk Prediction & Financial Dashboarding

Term Deposit Subscription&Financial Dashboard

CustomerChurn& Sales Trend OptimizationModel

Corporate Airline Revenue Optimization & Dashboarding

( Link )

Built a data-driven solution using machine learning, Python, and Power BI to predict term deposits with 85% accuracy, analyze financial market trends, and support stakeholder decisions in trading operations.

•

•

Built predictive credit default models with 90% accuracy using Python, SQL, and Power BI, ensuring data quality for risk analysis and empowering stakeholder decision-making in derivatives trading.

•

Developed a predictive churn model using Python and Power BI with 80% precision, identifying clients likely to leave and enabling targeted retention strategies and sales optimization through dynamic financial dashboards.

•

•

Developed a competitor fare analysis framework using Python (BeautifulSoup), SQL, Power BI, Tableau, and Excel to integrate scraped market data with internal financial datasets, enhancing customer insights by 30% and supporting dynamic pricing strategies.

•

Contact this candidate