Oct 2022 – Present · 3 yrs 8 mos · Gurugram, Haryana, India

Jul 2021 – Feb 2025 · 3 yrs 7 mos · Bangalore Urban, Karnataka, India · On-site

• As a visionary leader in the field of artificial intelligence and machine learning, I have demonstrated exceptional leadership abilities in creating, implementing, and managing GENAI use cases with special projects on Text to SQL in LLM's . My focus on developing machine reasoning skills in the workforce has led to groundbreaking results.
• Taking ownership of anomaly detection and issue classification on mobile networks, I have excelled as the product owner for latency and throughput degradation products, ensuring superior performance for our clients.
• As a thought leader in AI/ML projects, I have ideated, built, and deployed end-to-end solutions on client infrastructure, driving innovation in the industry. Nurturing and building AI teams in the Global AI accelerator, I have fostered a culture of excellence.
• My expertise in driving new-age solutions, such as Machine Reasoning for telecom clients, showcases my ability to identify and capitalize on emerging trends. As the product owner for the Ticket Intelligence Prediction System (TIPS), I have developed go-to-market strategies and collaborated closely with NDO teams for successful product launches.
• Deploying machine learning and AI models for streaming network data on client cloud infrastructure, I have revolutionized data analysis, processing, and feature selection algorithms using Spark's powerful libraries.
• Democratizing TIPS across all Ericsson customers, I have made AI accessible and user-friendly. My proficiency in controlling conversations and influencing stakeholders has been instrumental in achieving positive outcomes.

Nov 2020 – Jul 2021 · 8 mos

• Lead teams on Data Science and Data analytics projects. Delivered end-to-end solutions on Scenario modelling on Revenue Gross Margins. Built vendor authentication mechanisms for Credit and Collection,Treasury teams. Worked and deployed models on Azure,Databricks, PowerBi and Webapps.

May 2017 – Nov 2020 · 3 yrs 6 mos

• Developed social media sentiment tool to access product sentiment in the market using web scraping, text analytics and NLP. The product sentiment can be captured at the country level, Thereby can find the riskier countries and take necessary action to fulfill customers expectations.
• Built an SEC scraper which scrapes 10K filings data in a meaning ful way based on sections and compare accounting policy changes in the company using accounting policy dictionary(Lexicon based).
• US PC Profitability (Big Deal and AUP Change)
• Objective:The objective of the project is link the Big Deals that are signed between Hp and Customers to AUP change of the SKU's
• Algorithm: Customer segmentation is done. Analysis is carried out over the segments when ever a new Big deal signed. The AUP(Average unit price) foR that particular sku is reflected immediately on a insighful dashboard.Where the sales team can bridge the price changes and sell at changed prices which saved HP almost 10% of there revenue.
• Use of skillset - Dashboard is Buit on PowerBI. Used Python to connect to Vertica DB and run price change algorithm and clustering analysis was done over 25K customer companies of HP and 68 Billion records.
• Asset Classification using Web Scraping NLP and Machine Learning
• Objective: The project is aimed at identifying the asset type by creating algorithm which searches the description of asset in web and analyse the description using Natural language processing. The processed output of NLP algorithm is fed into supervised self-improving machine learning classifier to classify the asset into it’s original Asset Type.
• Ap Cash forecast: Implementation of AP cash flow with the highest accuracy possible with data using a baseline Facebook prophet model and creating a new package around it which align with HP requirements.

Jan 2020 – Dec 2020 · 11 mos · India · Remote

• Key Responsibilities & Achievements:
• Delivered live online sessions and guided learners through projects and assignments.
• Provided academic and technical mentorship to help students and professionals achieve learning goals.
• Mentored over 5,000 students/professionals with high satisfaction and course completion rates.

Jan 2016 – May 2017 · 1 yr 4 mos · Pune, Maharashtra, India

• Made web scraper to scrape articles from financial websites and scrape company notes from SEC
• Developed news article senti analyzer in predicting stock prices
• Designed and Developed Alarm tool (Asset-wise Liquidity assessment and risk monitoring) using Python and D3.
• Built tool for accessing asset manager’s performance in Matlab for a leading finance client
• Created US airline market research insights based dashboard in Qlikview
• Built resume parsing tool for fetching candidate data automatically.
• Petco Customer classification:
• Done Customer segmentation using KMEANS,DBSCAN

Jul 2013 – Jan 2016 · 2 yrs 6 mos · Bengaluru Area, India

• Experienced in Supply Chain analytics based consulting, focusing on different business objectives across diverse geographies in multiple categories and consumer segments.
• Designed and developed VCP(Variable cost productivity) and DMP(Direct material productivity) assessment tool
• Data Science projects :
• Out Ex service Forecast: To forecast servicing time of a machinery.Thereby alerting the maintenance teams to maintain inventory.
• Demand Forecast : Done sales forecast and productivity forecast using time series data
• Fault Forecast : Identified machines which need servcing based on there current levels and classified
• them using SVM,Decision Trees

Jul 2012 – May 2013 · 10 mos · Delhi, India · On-site