Machine Learning Data Science

Profile Summary Education

Experienced AI-ML Engineer/Data Scientist specializing in

data science, machine learning and data analytics for the past 8 years, with an overall experience of 15 years in the software industry, I bring hands-on expertise in developing and deploying machine learning algorithms and models to extract actionable insights from intricate datasets.

Proficient in developing and implementing advanced algorithms and models to extract valuable insights from complex datasets. Actively engaged in executing projects on Generative AI, demonstrating a growing proficiency in exploring and implementing innovative solutions to drive business value. Skilled in identifying opportunities for AI-ML applications and translating them into actionable plan that deliver tangible business value.

Experienced in collaborating with cross-functional teams, including machine learning engineers, Data engineers, and business stakeholders. Effective communicator with a proven track record of bridging the gap between technical complexities and business requirements.

Strong analytical and problem-solving skills, honed through years of tackling real-world challenges in diverse domains. Proficient in leveraging a wide range of tools and frameworks to address complex AI-ML problems and optimize solutions for scalability and performance.

Extensive experience applying AI/ML solutions across diverse domains including Retail, Supply Chain Management, Manufacturing, and Healthcare

2019: M.Sc. in Business

Analytics from Birla Institute of

Science & Technology

2004: B.Tech.(Computer

Science) from P.R.R.M

Engineering College, JNTU

Certifications

Generative AI with LLM,

Coursera (Apr’24)

Google’s Generative Ai

Learning Path (Jul’23)

ACE-Google Associate Cloud

Engineer (Apr’ 22)

AWS Certified ML Speciality

(Feb’21)

Deep Learning.ai, Coursera

(Oct’19)

SCWCD, Sun Micro Systems

(Jun’10)

SCJP, Sun Micro Systems

(Jan’05)

Technical Skills

Programming Languages: Python, Java, R

Statistical Modelling: Regression, Classification, Time Series Analysis, Clustering, Segmentation Deep Learning and Natural Language Processing: CNNs, RNNs, LSTMs, YOLO,Text Classification, Sentiment Analysis

Technical Frameworks: TensorFlow, Keras, PySpark, Streamlit, SciKit Learn, SciPy, Data Studio, VertexAi, Kafka, Flask, AWS, Kubernets and Docker

Cloud Services: GCP & AWS

Generative AI: Prompt Engineering, GANs, BERT, Transformers, vector databases

(Pinecone,Faiss,Chroma), RAG, VAEs, LangChain

Dashboarding for KPI Monitoring: Looker, Tableau, Grafana Database: Oracle, MySQL, PostgreSQL and Cassandra

Version Control: GIT and SVN

PALLAVI SATSANGI

Strategic Professional: Project Manager- Data Science & ML ***************@*****.*** +1-630-***-**** Illinois, USA http://linkedin.com/in/pallavi-satsangi PALLAVI SATSANGI

AI & ML Engineer/Data Scientist

Publications

Nov’19: Automation of Tacit knowledge using Machine Learning ISCMI-2019, IEEE AI-ML Work Experience(2016-Present)

Vuegen Technologies

AI-ML Manager/Data Scientist Mar’24- Current

• Developed XGBoost algorithm to predict equipment failures before they occur, enabling proactive maintenance scheduling.

• Work closely with data engineers and machine learning engineers to pre-process and integrate diverse data sources, while also liaising with business stakeholders to understand operational requirements and define key performance indicators.

• Oversee and mentor a team of data scientists, machine learning engineers, and other technical professionals by providing guidance on project prioritization, technical approaches, and best practices in data science and machine learning.

Quantiphi Analytics

Senior Engagement Manager -Applied AI Dec’21 Feb’24

• Led the conceptualisation and design phase of the generative AI project, defining objectives and requirements, and developed a solution using LLM (text-bison) to respond to student queries. Implemented langchain framework to improve accuracy and gain better control using chaining mechanism

• Implemented a Generative Ai-based project using LLM (text-bison) and chroma to assist actuaries spend less time searching for specific policy information.

• Implemented an LLM-based solution using Codechat-Bison, Pinecone for storing and retrieving similar code snippets. The solution helped to assist developers with code-related questions, improve code quality, and fix compilation errors.

• Implemented machine learning model to identify and address inefficiencies and sources of wastage in the oil extraction process.

• Led the strategic implementation of AI-ML-driven Customer Segmentation and Propensity Prediction models to generate insights for tailoring marketing strategies and increasing customer spending.

• Developed a predictive model to identify a patient with prostate cancer, thereby empowering researchers with valuable insights into optimal treatment strategies tailored to individual patient profiles, facilitating ongoing advancements in prostate cancer care and management.

• Managed end-to-end project activities, including planning, execution, monitoring, and control, to deliver AI-ML solutions that meet quality and timeline requirements. Infosys Limited

Project Manager Aug’18-Dec’21

• Spearheaded the creation of a Machine Learning development program for Apple, expanding their AI service offerings

• Implemented time series forecasting techniques to predict overbooking and prioritizing important appointments there by significantly enhancing Apple store allocation strategies.

• Analysed large datasets to develop a customer model using supervised learning algorithms This drastically reduced P1 issues in production, enhancing operational efficiency and customer satisfaction

• Managed data collection, pre-processing, and cleaning, ensuring seamless integration of diverse datasets from upstream and downstream applications. This meticulous approach to data management likely contributed to the success of the Machine Learning models developed for the client by ensuring high-quality data for training and analysis.

• Actively partner with clients to understand their specific business challenges and translate them into actionable data science projects with measurable objectives and potential impact. Brillio Technologies

Senior Lead Jun’17-Aug’18

• Implemented models that leveraged advanced algorithms to analyse supplier performance metrics, supply chain data, and material attributes. This enabled the client to develop more targeted procurement strategies.

• Analysed supplier data to identify potential risks (e.g., delays, quality issues) and assess overall supplier performance.

• Developed models to predict supplier performance and identify areas for improvement in areas like production costs.

• Led a team of 20 members and assisted in planning, designing, development, testing, and release management functions.

• Effectively communicate project goals, progress, and findings to clients and stakeholders, managing expectations and ensuring alignment with business objectives Enexl Technologies

Technical Lead Feb’16-Jun’17

• As part of a Proof-of-Concept (PoC), implemented machine learning models to recommend relevant items to customers during the checkout process. This led to increased revenue and improved customer satisfaction.

• Collaborate with various departments (e.g., sales, marketing, logistics) to identify and access relevant data sources

• Identify trends and seasonality in demand to inform purchasing decisions and promotional activities

• Utilize customer data (e.g., demographics, purchase history) to segment customers into meaningful groups with similar characteristics

• Implemented a VideoAi system using computer vision and image processing to analyse video footage in real-time for a retail company to address their inventory shrinkage concern using AWS Sagemaker.

• Involved in defining project scope, timelines, resources, and budget.

• Proactively identified potential issues, develop contingency plans, and effectively address any challenges that arose throughout the project lifecycle. Software Engineering Work Experience (Prior to 2016) Turning Point Software Solutions Java Technical Lead Nov’13-Jul’14 Head Infotech Limited Java Team Lead Jan’13-Jul’13 Wipro Technologies Java Module Lead Nov’07-Aug’10

Infotech Enterprises Limited Java Senior Software Engineer Sep’04-Oct’07 Awards & Recognitions

Attained “Certificate of Appreciation-Ninja League” for commitment towards project delivery excellence (Aug’22)

Attained “Certificate of Appreciation” by NASSCOM for commitment towards “Women Wizard Rule Tech” cohort as an AI-ML mentor (Apr’21)

Received “Certificate of Appreciation” towards unflinching project delivery during Covid Pandemic

(Jun’20)

Gained recognition amongst the top 5 teams in “Infosys Hackathon” for designing a use-case on Machine Learning (Apr’19)

Awarded “Certificate of Completion” for Women Leadership Program (Jun’18) Won “Brillian of the Month” for leadership (Feb’18) Won “Digital Excellence” for POC on the digital day (Feb’18) Received “Thanks, a Zillion” Award in Dec’08 from the teammates of the project (May’08) Awarded “Employee of the Month” Award for receiving excellent feedback from the client during the onsite tenure (Jan’07)

Contact this candidate