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Data Analyst with 2+ years in Business Reporting & AI
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Data Analytics professional with experience in SQL, Python, business reporting, and data transformation for generating actionable business insights. Skilled in data analysis, dashboard development, ETL concepts, and translating structured datasets into business transformation logic using analytical and statistical techniques. Experienced in building analytics applications, forecasting models, and reporting solutions with exposure to AWS cloud technologies and process improvement methodologies.
Imarticus Learning
PG Program in Data Science and Analytics · Data Science and Analytics
August 1, 2025 – June 30, 2026
University of Hertfordshire
MBA · Data Analytics
August 1, 2022 – June 30, 2023
Sri Krishna Arts and Science College
B.Sc · Electronics and Communication System
August 1, 2018 – June 30, 2021
Yolk
Team Leader – Analytics & Operations
April 1, 2023 – May 1, 2025
London, England, United Kingdom
EduCognia - Sensor-Free Cognitive Engagement Detection System
June 1, 2026 – June 1, 2026
Developed a real-time learning intelligence platform that predicts learner cognitive engagement using passive behavioral signals including mouse activity, keyboard activity, idle time, and application usage patterns. Engineered behavioral features and built XGBoost classification models to identify engagement states such as Focused, Engaged, Distracted, Disengaged, and Neutral using machine learning techniques. Applied Prompt Engineering and LLM-assisted workflows to generate personalized learning recommendations, engagement interventions, and contextual educational guidance through a Streamlit-based analytics platform.
View ProjectTime Series Forecasting System
June 1, 2026 – June 1, 2026
Developed forecasting models using ARIMA, SARIMA, Prophet, LSTM, GRU, and CNN-LSTM architectures for predictive analytics and trend forecasting. Performed feature engineering, model validation, forecasting evaluation, and optimization using statistical and machine learning techniques. Compared statistical and deep learning forecasting approaches to improve predictive accuracy and support data-driven planning and decision-making.
View ProjectAI Auto Data Analyst
June 1, 2026 – June 1, 2026
Built an AI-powered analytics platform automating data ingestion, preprocessing, reporting, business analysis, and insight generation using Python, SQL, and LLM-driven workflows. Applied prompt engineering techniques to automate business research, KPI interpretation, executive summary generation, and analytical reasoning. Developed intelligent analytical pipelines transforming raw datasets into stakeholder-ready reports, recommendations, and decision-support insights.
View ProjectXiaomi Supply Chain Logistics Dashboard
June 1, 2026 – June 1, 2026
Developed interactive Power BI dashboards monitoring inventory, logistics, and supply chain KPIs to support business intelligence and executive reporting. Performed data transformation, validation, and analysis to improve reporting accuracy and provide operational visibility. Generated actionable insights through trend analysis, KPI monitoring, and performance reporting to support strategic decision-making.
View ProjectData Science with Advanced Machine Learning and Deep Learning
Unknown
June 1, 2026 – Present
Introduction to Snowflake
DataCamp
June 1, 2026 – Present
SQL (Advanced)
HackerRank
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Elements of AI
University of Helsinki
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including systems for cognitive engagement detection, time series forecasting, and AI-powered data analysis, indicates a proactive and innovative mindset. Their experience in a 'Team Leader' role and participation in data science competitions suggest a collaborative and competitive spirit. The breadth of skills, from traditional BI tools to advanced AI/ML, shows adaptability and a willingness to learn new technologies, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in stakeholder management, communication, and cross-functional collaboration, as evidenced by their experience in gathering requirements and delivering executive-ready reports. Their role as 'Team Leader – Analytics & Operations' suggests leadership potential and an ability to manage analytical processes. The focus on process improvement and problem-solving aligns well with operational efficiency requirements.