SOHANI JENAMANI

Detail-focused Data Analyst with a passion for extracting actionable insights from complex datasets and delivering them through effective data visualization tools. Proven ability to collaborate effectively across cross-functional teams and manage multiple projects with strong prioritization and organizational skills. Extensive experience using Python, R, Tableau, Big Data and other data analysis tools.

• Databricks Lakehouse Fundamentals Accreditation
• Working with Children Check

• Problem-Solving & Initiative: Embodied IBM's "Unite to get it done now" practice, demonstrating my ability to actively engage in discussions, propose solutions, and collaborate effectively to meet tight deadlines.
• Business Acumen & Responsiveness: Consistently "put the client first" at IBM, swiftly discerning data requirements and responding promptly to business inquiries.
• Collaboration & Teamwork: Awarded Mentor's Choice for leading a team to develop an AI-powered learning assistant, showcasing my ability to collaborate effectively, contribute to collective goals, and achieve impactful results.

Final Project for Master: "Using AI to empower visually impaired kids with their learning."

Python | PyPDF | MySQL | NLP model (OpenAI) | RStudio

• Utilized Kanban boards to ensure an Agile approach in project management.
• Applied ETL processes to collect information from government websites, preparing clean data and producing visualizations using Shiny RStudio.
• Implemented a Natural Language Processing (NLP)-based model for Question-Answering and Summarization tasks, enhancing response efficiency with OpenAI's API model.
• Employed Zipf's Law and Bi-gram Model in NLP through Python to generate sentences.
• Conducted data parsing, text preprocessing, exploratory data analysis, data cleansing, and integrated data sources using Python.
• Conducted data modeling, transformation, and ETL processes to ensure data accuracy and integrity.
• Utilized R for data analysis and the construction of linear models for classification and regression tasks. Engaged in comprehensive data exploration and visualization using R in conjunction with Tableau.
• Employed parallel data processing techniques for big data analysis with PySpark.
• Developed and implemented data models to organize and structure data, optimizing data flows and storage efficiency.

• Painting: Received the Best Artist Award in Odisha state (in India).
• Organized blood donation camps in Bhubaneswar City (India).
• Enjoy public speaking and travelling.

On request.