Data-Driven Analytics & AI Solutions Expert

Sanika Morankar

Email: ************@*****.*** Phone: +91-770*******

LinkedIn: https://www.linkedin.com/in/sanika-morankar GitHub: https://github.com/san1201 Portfolio: https://san1201.github.io/san-data-portfolio/ Professional Summary

Insight-driven Data Analyst with applied experience in fintech, consulting, and research, and a Master’s in Data Science. Adept at transforming raw data into meaningful stories through Power BI dashboards, SQL analysis, and Python automation. Skilled in ETL development, data modeling, and performance optimization, with hands-on experience in Databricks and Power Platform automation. Leveraged AI-assisted analytics and effective prompt engineering to automate insights generation and enhance data storytelling. Known for bridging technical and business perspectives to design analytics solutions that improve efficiency, drive decisions, and deliver measurable impact. Core Competencies / Skills

• Generative AI & Machine Learning: GPT models, LLMs, LangGraph, Autogen, ML, embeddings, fine-tuning, NLP, Deep Learning

• AI Tools: Prompt Engineering, Conversational AI, Chatbots, TensorFlow, PyTorch

• Cloud & BI: Azure Cognitive Services, Power Automate, Power Virtual Agents, AWS, Snowflake, ETL, Power BI, Tableau

• Programming & Data: Python, SQL, R, C, C++

• Collaboration: JIRA, Monday.com, Slack, MS Teams, Confluence, Agile, Scrum

• Other: Excel, Git, Applied Statistics, Data Visualization Professional Experience

Data Analyst Verto Apr 2024 – Sept 2025 Pune, India

• Built OpenAI-powered workflows with Power Automate, reducing reporting effort by 30%.

• Designed Power BI dashboards tracking adoption, flows, and customer trends.

• Applied embeddings and chunking for semantic search on large datasets.

• Developed Python backend services to integrate GenAI into pipelines.

• Partnered with compliance teams to deliver AI-driven fraud detection dashboards.

• Worked on data migration and automation projects. Independent Data Consultant MarTech Mate Aug 2023 – Mar 2024 Remote

• Delivered data analysis initiatives using Insight 360, providing actionable insights that supported key business decisions.

• Delivered GenAI-enabled analytics pipelines for SMEs, cutting reporting turnaround by 30%.

• Integrated Azure Cognitive Services for analytics and chatbot solutions.

• Designed and implemented SQL-based data pipelines and Power BI dashboards for sales and marketing analytics.

Data Science Trainee Carnot Technologies Jan 2021 – Feb 2021 Mumbai, India

• Created dashboards to analyze product performance.

• Assisted in preparing datasets and evaluating ML models. Engineer Trainee Larsen & Toubro Aug 2019 – Dec 2019 Mumbai, India

• Supported automation and data logging in manufacturing.

• Collaborated on PLC programming and troubleshooting. Research Assistant KIST Jun 2018 – Jul 2018 Seoul, South Korea

• Conducted applied research on Smart Highways and Piezoelectric materials.

• Utilized IoT sensors and Python for data analysis. Projects & Academic Research

• AI-Driven Reporting Workflows – Automated ad-hoc queries with OpenAI GPT models.

• Cross-Border Payments Analysis – Delivered insights on flows and compliance risks.

• Healthcare NLP Pipeline – Applied NLP techniques to analyze unstructured healthcare data.

• Customer Churn Prediction – Built and Optimised ML models.

• E-commerce Dashboard – Built Power BI dashboards with predictive models.

• IoT Sensor Analytics – Real-time monitoring for predictive maintenance. Education

M.Sc .Data Science University of Essex, UK 2021 – 2022 Modules: Python, Data Science Decision Making, Visualization, Statistics, Machine Learning(ML), NLP, Deep Learning.

Projects: Healthcare NLP Pipeline, Customer Churn Prediction, Email Campaign Optimization. B.Tech Electronics Engineering Vishwakarma Institute of Technology, India 2016 – 2020 Modules: Machine Learning, Data Structures, DBMS, Pattern Recognition, Embedded Systems. Projects: Predicting and Classifying Brain MRI using ML, Smart Highways research with KIST. Honors in IoT Vishwakarma Institute of Technology, India 2017 – 2019 Modules: IoT Architectures, Embedded Systems, Wireless Sensor Networks Project: IoT Sensor Analytics for predictive maintenance Awards & Recognition

• Nominated Employee of the Month, Verto (2024)

• Honors in IoT, VIT (2019)

• Invited Research Assistant, KIST (2018)

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