Experience

• 

  Deloitte india (offices of the us)

  Aug 2010 - Feb 2015

  -Offshore client Engagement-Insurance Vertical-Canada, UK and US offices-Schedule Management -Senior Reviews-Training and Mentoring -Offshore Client Engagement-Insurance Vertical-US,Canada and Australia offices-Data Collection and Validation-Risk Assessment- Balance sheet ,Income statement ,Internal Controls and Business Processes-Performance Materiality, CTT, Sample size to help design the basis of audit procedures.-Data Extraction to recreate and verify financial statements-Conducted Test of Details and Substantive Analytical procedures on financial statement accounts -Offshore Client Enagagement-Private Equity, Banking and Investment Management Vertical-US offices-Accuracy of Statement of Investments-Tie out procedures on Financial Statements-Various Staff level assistance on work papers designed to develop comfort over numbers in Financial Statements

  • Audit In-Charge

    Aug 2014 - Feb 2015

  • Audit Senior Assistant

    Aug 2012 - Aug 2014

  • Audit Assistant

    Aug 2010 - Aug 2012
• 

  Star group of companies

  Apr 2015 - Mar 2020

  Managing partner

  Successfully led a 30+ year business in the power electronics and Computer peripherals management industry.Effectively managed quality client service for about 75 business organizations, encompassing various sectors.Led and mentored a team of 15 professionals demonstrating people leadership skills.Revamped the Stock management system, resulting into a significant decline of 90% in stock related loss.Acquired 30 new clients which increased the annual rolling business of the company by Rs 10 lakhs, in a span of a year.Launched an Enterprise Management System to integrate client billing with vendor and stock management.Successfully secured a profitable deal for sale of company with strong negotiation skills, also providing a seamless transition in management Show less

• 

  Springboard

  Aug 2020 - May 2021

  Student-data analytics

  Worked on data driven projects to deliver business insights.Capstone Project-RossMann Stores-Ideas to increase Revenue- A Data-driven approachProject Duration: 2 Months-Used Python to pre-process, perform EDA and uncover insights from a time series dataset with 1M datapoints-Created a Multiple Linear regression model to predict Monthly sales and customer walk-ins-Created optimal Bins of stores, based on distance from nearest competitor to hypothesize that competition has an impact on SalesCapstone Project-BigMart-Understanding the CustomerProject duration: 1 Month-Employed Power BI and MS Excel to uncover insights on customer buying patterns from BigMart’s sales data, containing 9000 data points-Systematically imputed missing data in item visibility, using mean, median and mode-securing 25% of the data.-Identified price sensitive consumers by screening out consumer groups where correlation between MRP and Volume sales is below 0.60.-Identified item categories which were sensitive to fat content over MRP-Identified product placement premiums from vendors as an added stream of revenue for Bigmart, for item categories where correlation between item visibility and Volume Sales is over 0.90AEMR: Analysis of Power OutagesProject Duration :1 Week-Utilized Power BI and MS Excel to assess the reliability and non-disruptiveness of AEMR’s energy network.-Extensively used SQL for data extraction, w.r.t nature and frequency of outage events to identify unreliable energy providers basis average and total energy lost-Hypothesized and proved that forced outages occurred due to instances of low/poor preventive maintenance, using data driven evidence. Show less

• 

  Ibs software

  Aug 2021 - now

  -Established an end-to-end Machine learning workflow for forecasting Airline crew utilisation on AWS Sagemaker-Performed Data Engineering using the Data Wrangler Studio, using a combination of preset features and custom SQL and Pandas code to prepare data for AWS’s deep learning forecasting algorithm-DeepAR.-Performed Hyperparameter tuning jobs to increase quality of predictions and reducing RMSE and MAPE.-Collaborated with various stakeholders to eliminate pain points in order to use AWS Sagemaker optimally and presented key analysis. Show less

  • Consultant-Data Science

    Apr 2023 - now

  • Business Consultant

    Dec 2021 - Mar 2023

  • Project Trainee

    Aug 2021 - Nov 2021