Headline

AI-Powered Data Analyst | Business Intelligence | Power BI | SQL | Python | Machine Learning & Analytics

About

Most people see data as numbers. I see it as decisions, patterns, risks, and opportunities waiting to be uncovered. My journey into analytics didn’t begin with dashboards — it began in research and bioinformatics environments where accuracy, critical thinking, and data validation were non-negotiable. Working with complex datasets taught me how to approach problems analytically, identify meaningful insights, and make data reliable enough to support real-world decisions. Today, I’m an AI-focused Data Analyst passionate about transforming raw data into actionable business insights. I work with Python, SQL, Power BI, Tableau, and Excel to clean, analyze, visualize, and interpret data that helps organizations make smarter, data-driven decisions. Across projects and internships, I’ve worked with datasets ranging from 50K–120K+ records, helping improve data reliability by 25–30% while reducing manual reporting efforts by nearly 30% through automation and streamlined reporting workflows. I’ve also contributed to machine learning and predictive analytics initiatives using Scikit-learn, supporting regression and time-series models with 80–85% performance accuracy. What makes my profile different is the blend of research precision, business analytics, and AI-driven thinking. My experience in bioinformatics research and scientific publication strengthened my problem-solving mindset and ability to work with high-volume, detail-sensitive data — skills that directly translate into modern analytics and business intelligence roles. I’m especially interested in AI-powered analytics, business intelligence, predictive modeling, data visualization, and leveraging data to uncover trends that drive strategic growth. I enjoy turning complex datasets into clear stories that help businesses optimize performance and make confident decisions. Currently seeking opportunities as a Junior Data Analyst, BI Analyst, Associate Data Analyst, or AI/Data Analytics professional where I can contribute analytical thinking, technical expertise, and a growth mindset to a forward-thinking team. Core Skills: Python | SQL | Power BI | Tableau | Excel | Data Visualization | Data Cleaning | Exploratory Data Analysis (EDA) | Machine Learning | Predictive Analytics | Business Intelligence | KPI Reporting | Scikit-learn | AI-Powered Analytics | Data Storytelling

Location

Thane

Work experience

Data Analyst(SaaS | Predictive Analytics | NLP) at Zaalima Development, Mar 2025 - Jun 2025 · 4 mos, Bengaluru, Karnataka, India, “Driving business foresight with scalable pipelines and smart visualizations” Streamlined messy data from multiple SaaS applications using Python, PySpark, and SQL, improving overall data quality by 95% and cutting processing time by 40%. Built machine learning models (using Scikit-learn) to forecast business trends with 85%+ accuracy, helping stakeholders anticipate demand shifts and allocate resources effectively. Created interactive dashboards using Tableau, Power BI, and Matplotlib, increasing stakeholder engagement by 70% and reducing reporting bottlenecks. Improved data infrastructure by integrating MongoDB and PostgreSQL, boosting storage efficiency and retrieval speed by 50%. Unified scattered datasets into a single source of truth, empowering business units with real-time, actionable insights. Key Skillset: 🔹 PySpark | 🔹 Scikit-learn | 🔹 Time Series Forecasting | 🔹 Data Integration | 🔹 MongoDB & PostgreSQL | 🔹 Stakeholder Communication 💬 Feel free to connect if you're exploring smarter ways to align data with business goals.

Data Analyst(Excel Automation | BI Reporting | SQL Projects) at Trainity, Jan 2025 - May 2025 · 5 mos, Remote, “Translating raw data into accessible dashboards and business-ready insights” Designed interactive dashboards and automated reports using MS Excel, Power BI, and Tableau, enabling 40% faster insights across domains such as finance, social media, and insurance. Extracted business-critical insights from complex datasets by writing optimized SQL queries and using advanced window functions to improve report precision. Cleaned and structured large, unorganized datasets with Python (Pandas, NumPy), enhancing data reliability and processing efficiency. Synthesized data from multiple business use cases into storytelling visuals, improving data comprehension for non-technical stakeholders. Delivered end-to-end data workflows from ingestion to visualization, showcasing proficiency in business intelligence pipelines. Key Skillset: 🔹 Advanced SQL | 🔹 Microsoft Excel Automation | 🔹 Power BI Reporting | 🔹 Tableau Dashboards | 🔹 Python (Pandas, NumPy) | 🔹 Data Storytelling 📌 Let’s connect if you’re looking for talent who can turn everyday data into executive decisions.

Research Asst(Bioinformatics | QSAR Modeling) at Eminent Biosciences, 2010 - 2011 · 1 yr, Indore, Madhya Pradesh, India, “Merging science and computation to fast-track drug discovery” Published a peer-reviewed paper on CETP inhibitors, elevating the company’s academic standing in computational drug design. Evaluated 200+ molecular structures using QSAR and docking techniques, identifying potential candidates for cardiovascular drug targets. Enhanced research accuracy by 20% through modeling compound efficacy and safety—accelerating data-driven screening workflows. Delivered 10+ knowledge sessions to research students, mentoring on tools like QSAR modeling and molecular docking. Consolidated fragmented datasets into a unified structure, reducing lookup time and fostering cross-functional collaboration. Key Skillset: 🔹 QSAR Modeling | 🔹 Molecular Docking | 🔹 Drug Discovery Informatics | 🔹 Scientific Writing | 🔹 Computational Biology | 🔹 Research Methodology

Education

Training and Internship, Data Analysis, Trainity

PG, DataScience, Machine Learning and Neural Networks, DataTrained Education