Jyoti Rani
@jyotirani
Data Scientist at Innowatts Energy
Gurgaon
Jyoti Rani is a data science professional with over 5 years of experience in intelligent data processing and analysis. She is proficient in Machine Learning, Deep Learning, and NLP, having applied skills to areas like load forecasting, EV identification, and customer service enhancement. Her expertise includes building robust data pipelines and developing predictive models using Python and various cloud technologies.
Experience
DATA SCIENTIST
Innowatts Energy
Built statistical models to identify meters with rooftop solar by computing the 5th percentile of the interval usage by hour by year by month and Identify meters with high suitability for flat bills using hourly interval usages. Developed a linear regression model to identify the meters with heat pump using historical usage and temperature variables, a numpy polyfit is used for each and every meter, one for cooling degree (CDD) and one for heating degrees(HDD). Worked on neural network model to identify patterns for meters with EV associated. Provided value-added meter insights (e.g. carbon footprint) and recommendations (PV Impact) to various stakeholders using visualization tools like dash plotly and ipywidgets with python. Built collection, analysis and reporting frameworks from scratch using Python from external data sources (EIA, FRED etc.).
BUSINESS TECHNOLOGY ANALYST
ZS Associates
Early detect the patients at risk of cancer after analyzing the patient history and drugs prescribed by identifying the entities and keywords from history and making some business rules to classify the risk level of patients. Determined the 7-year survival of prostate cancer patients using logistic regression algorithms. Responsible for onboarding of new vendors and data onto the AWS S3 data lake and lead two project teams for all major operational activities. Worked on digital dashboard Spotfire and MS excel for representing and reporting data in tables and graphs. Diagnosed and resolved faults within data pipelines for maximum user efficiency using Python and SQL. Utilized practical communications skills to maintain and build positive client relationships.
SYSTEM ENGINEER
Tata Consultancy Services
Product Review Sentiment Analysis - Used Natural Language Processing (NLP) to predict whether a review was positive or negative using nltk library and TfidfVectorizer module. Automated business process and reporting by doing data extraction and manipulation using advanced excel and python libraries. Web Scrapping data from various external tools and applications using Python selenium web drivers. Monitored system functioning closely, troubleshooting and resolving issues using SQL. Coordinated cost-effective solutions across teams, significantly reducing production errors. Built a Chatbot using keras, nltk, and TensorFlow to enhance Customer service, as well as experience.
Education
DCRUST
Bachelor of Technology
ECE
GMSSSS
Class XII (Intermediate Examination)
SPS
Class X (High School Examination)