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Data Analyst with 1+ years in Data Analysis & Business Intelligence
Results-driven and detail-oriented Data Analyst with strong expertise in Data Analysis, SQL, Python, Power BI, Data Visualization, and Business Intelligence. Skilled in data cleaning, data preprocessing, exploratory data analysis (EDA), KPI tracking, dashboard development, and reporting automation to support data-driven business decisions. Proficient in Python libraries including Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn for statistical analysis and business insights generation. Experienced in database management using PostgreSQL and MySQL with strong analytical and problem-solving capabilities. Adept at transforming raw data into meaningful reports, interactive dashboards, and actionable insights for operational efficiency and business growth. Strong knowledge of Excel, Power Query, DAX, and visualization tools to monitor performance metrics and trends. Quick learner with excellent communication, collaboration, and technical training experience. Seeking a Data Analyst or Business Intelligence role in the UAE to contribute analytical expertise and business-focused reporting solutions.
University of Kerala
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2024
University of Kerala
Bachelor of Computer Applications (BCA)
August 1, 2018 – June 30, 2021
SRISHTI INNOVATIVE
DATA SCIENCE INTERN|DATA ANALYST TRAINEE
July 1, 2025 – January 1, 2026
Thiruvananthapuram, Kerala, India
OBSQURA ZONE
JAVA TRAINER|TECHNICAL TRAINER
September 1, 2024 – March 1, 2025
Thiruvananthapuram, Kerala, India
CUSTOMER BEHAVIOR ANALYSIS
June 1, 2026 – Present
Performed end-to-end data analysis including loading, preprocessing, and transformation of datasets. Identified customer trends, purchasing patterns, and business opportunities using EDA techniques. Developed SQL queries for data extraction, aggregation, and analytical reporting. Built interactive Power BI dashboards to visualize KPIs and customer insights. Generated business reports and visual analytics for effective decision-making support. Delivered actionable recommendations to improve customer engagement and performance tracking.
SALES ANALYSIS DASHBOARD
June 1, 2026 – Present
Created interactive dashboards for regional, product-wise, and customer-wise sales analysis. Performed data cleaning and modelling using Power Query and DAX functions. Developed KPIs including revenue growth, profit margin, and sales performance metrics. Enabled drill-down analysis, slicers, and dynamic reporting for stakeholders.
MUSEUM SURVEILLANCE SYSTEM
June 1, 2026 – Present
Implemented a custom-trained YOLOv8 model with OpenCV for continuous video monitoring and object detection. Developed a real-time surveillance system to detect object removal and potential theft using computer vision and deep learning.
ZOMATO FOOD REVIEW PREDICTION
June 1, 2026 – Present
Applied data preprocessing, feature encoding, and EDA to improve model accuracy. Evaluated ML algorithms including Linear Regression, Random Forest, and LightGBM; achieved best R² ≈ 0.69 with Random Forest. Deployed a Streamlit web app for real-time restaurant rating predictions.
Python with Data Science Certification
Unknown
June 1, 2026 – Present
Complete Python + Django + Data Science Course
Unknown
June 1, 2026 – Present
Cyber Security Workshop Participation Certificate
Unknown
June 1, 2026 – Present
Database Management Certification
Unknown
June 1, 2026 – Present
Power BI Dashboard Development Training
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales analysis to customer behavior and even a museum surveillance system, shows a broad interest in applying data analysis across different domains. The experience as a Java Trainer, while not directly related to data analysis, indicates an ability to learn and teach technical concepts, which can be valuable for knowledge sharing within a team. The certifications further demonstrate a proactive approach to skill development. However, the experience level is quite low, and the projects are personal, which might require more structured team experience.
Soft Skills & Operational Fit
The candidate highlights problem-solving, team collaboration, quick learning, analytical thinking, attention to detail, and stakeholder management. These soft skills are crucial for a Data Analyst role, suggesting a good operational fit. The project descriptions indicate an ability to work through end-to-end data analysis processes and deliver actionable recommendations.