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Click here or scroll down to respond to this candidateCandidate's Name
Lawrenceville, NJ PHONE NUMBER AVAILABLE EMAIL AVAILABLE/guptasag19@gmail.com LINKEDIN LINK AVAILABLE Career SummaryMS data science & 10+ years in business/data analysis for IT & business operations projects. Worked in pharma, power energy, IT services, & insurance domains. Adept in Python, Alteryx for ML modeling. Skilled in Power BI, SPSS, Jira, Confluence SaFe/Agile applications. BSA proficiency managing IT projects for change management, systems integration, & process automations. Fast learner & proven multifaceted skills while working in a single role. Details- Work ExperienceBI Consultant PHARMAACE, NJ Apr23-Feb24 Client-Bristol Myers Squibb Project Summary: PM & BA tasks to explore Gen AI & ML self-service analytics features & Tableau automations. Requirement gathering, prototyping, proof-of-concept wireframe design, functional testing for commercial BIA. Management of focus groups, surveys, client liaison for BI process automations. PoC of 21 BI tools- Arria, Tellius, ThoughtSpot, Spotfire, Alteryx, Power BI etc. for augmented analytics features. Explored integration feasibility of closed source LLMs & Snowflakes Streamlit as the web UI. Client collaboration & strategy planning for recommender system & Gen AI-based knowledge management. Alteryx BI Suite, Python spaCY, NLTK usage for text analytics for HCP outreach optimization. SQL querying & univariate analysis to identify trends & KPI indicators for multiple clinical data types. Pilot & beta testing of API integration of Tableau extensions with ThoughtSpot, Tableau, Domino, and Python. Outcome: Designed comparative view for BI tools like Tellius, ThoughtSpot, Alteryx, Einstein GPT etc. for their ease towards liveboards, views, leaderboards, auto insights, NLG accuracy, scalability, data connectivity, NLU etc. Business Analyst CMC ENERGY SERVICES, NJ Jul22-Apr23 Clients- PECO & PPL Project Summary: PM, BA & DA tasks for agile projects for process automation, BI visualizations, & SQL analysis. Business process design & documentation in Confluence. Automated customer identification grouping at energy type & customer type in Salesforce Lightning. Translate product roadmap feature, create user stories, business and functional requirements. As-Is, To-Be documentation for business process modeling to depict change management. Facilitate sprint planning, scrum daily stand-ups, UATs, retrospectives & Go-no-Go meetings. SQL optimization, Python libraries like Pandas & Matplotlib application for data profiling & manipulation. Predictive ML modeling to improve sales and expense forecasting accuracy by 1.5%. Timely troubleshooting reporting and defects resolution improved sprint UAT results by 15%. Gap analysis with STTM and SCD design for ETL process automation reduced batch data load time by ~30%. Outcome: Salesforce & AWS Lambda integration reduced technician appointment scheduling errors by 15%. Gap analysis in Power BI provided real-time feed of spend & actuals variance. PMO/BA EDUCATIONAL TESTING SERVICE, NJ Feb18-Apr22 Client- California Department of Education(CDE)Project Summary: PM, BA & DA tasks for change management, system automations, business analysis projects. MS research project- NLP feature comparison of xlm-RoBERTa, GPT-3 & m-BERT language models for machine translation & answer prediction. Data extraction & summarization using SQL aggregated functions. Created data dictionaries for referencing. LSTM, decision trees, logistic regression modeling in Python to predict student test scores. ML modeling in Python to categorize testing irregularities & inference visualization in Power BI. Python automations to extract data from pdf & trigger notification for alarming texts in answer books. MLOps for model validation, monitoring, model storage & deployment using AWS Lambda & SageMaker. Design test plan, SaFe artifacts-epics, features, stories, sprint planning, backlog & log management, testing. Creation, mapping & client collaboration for FRD, BRD, requirement traceability matrix(RTM), & user stories. Process maps & complex SOP creation using swimlanes, flowcharts, data flow diagrams in Visio & Draw.io. Maintain risk registers, PMO & business cross-functional collaboration to design data migration workflows, deliverable forecasting & scheduling. Design context & UML diagrams for process re-engineering. Client liaison for system latency integrating AWS S3& enterprise reporting system. Data management with tagging, data catalog creation, standardization & traceability techniques for report centralization project. Data collation & transformation using power query in Power BI. Outcome: 100% success in removing column- level reporting redundancies. Design MVP product mock-up during initiation and planning phases. Client engagement to help understand dataflow of the proposed system design. Outcome: Real-time reporting of test security breaches reduced response latency from 1 week to 4hours. Quantified results with ML analysis, & process standardization enhanced program operations by 2-3%. Associate-Data Operations IQ Workforce, NJ Jun16- Oct17 Clients- ML consultants, retainers & third partiesProfile Summary: HR data management, operational & vendor management using Salesforce, ADP & QuickBooks. Salesforce Lightning reports usage for accurate categorization of leads & their sources. Automation & collation of manual & system-loaded leads in SF. Improved lead source differentiation by 20%. Automated real-time report generation with Power BI visualizations. Used QuickBooks, ADP & Salesforce for consultant payouts. Reduced billing errors by 20%. Identified data trends for payroll & recruitment activities using Power BI. Conducted qualitative & quantitative surveys. Identified trends, improved operational efficiency by 10%. Outcome: Real-time visualization increased credit assignments accuracy between sales & marketing teams in Salesforce by ~15%.International Work Experience 2008-2014 India Worked as a BA & DA for claims management for general insurance. Collaboration with claims processing & compliance teams for claims receiving process. Applied regression algorithms to increase customer churn prediction, X-sell and Up-sell by 3%. Claims rejection pattern analysis in SPSS. Reduced insurance claims approval duration process by 1%. Utilization of data analytics to improve pre-sales & post-sales performances by ~2%. EducationAdvanced Certificate in Generative AI-UpGrad 2024MS in Data Science Liverpool John Moores University 2022 PG Diploma in Data Science International Institute of Technology, Bangalore India (Online) 2021 Executive MBA in Banking and Insurance, India 2012 Diploma in Business Management ICFAI, India 2011 |
