Sasibhushan Muttada

Muttada Sasibhushan PGDM, IIM Ranchi, Mobile No: -, Email-id:-Academic Record PG UG Class XII Class X 2015 IIM Ranchi (Business Intelligence and Information Systems) 2012 NIT WARANGAL (CSE) 2008 SRI CHAITANYA JR COLLEGE, VISAKHAPATNAM (BOI) 2006 SRI PRAKASH VIDYANIKETAN,VISAKHAPATNAM(SSC)  Rewarded best Internship in IIM Ranchi out of 200 students. Achievements  PPO from FutureNow Innosoft Company as a Web Developer.  The prestigious pratibha award in 10th class for getting highest marks in PH category.  Certified in Google Analytics and Google AdWords in Shopping behavior Work Experience Mar’-18 to Present Accenture Digital Functional and Industry Analytics Analyst  Role: Data Scientist  Working with large data sets and present conclusions to key stakeholders; Data management using SQL, Hive Projects  Support, monitor and manage all aspects of daily activities with  Customer Segmentation  Attrition / Cross-Sell Models  Root-cause analysis  Consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track and solve client issues Work Experience (24 Months) Mar’-16 to Mar’-18 Tatvic.com, Ahmedabad Customer Success Manager  Role: Google Analytics Consultant and Data Scientist  Deep understanding of Google Analytics, Google Tag Manager  Data Analysis of Web Analytics and App Analytics  Create holistic Dashboards by pulling data of 1-2 years from web & Apps Responsibilities  Driving core insights from the data to suggest A/B Tests and Personalization  Works on R to build different models (3) for predictive Analytics  Audience Segmentation based on customer affinity using Cluster Analysis  Developed Statistical Models using SVM, Decision Tree, Random Forest  Good client communication and handling multiple clients Muttada Sasibhushan PGDM, IIM Ranchi, Mobile No: -, Email-id:- Increased the traffic by 2% with the change in website structure  Increased conversation rate by 0.15% via AB Test  Created powerful insights, visualizations by combining R and Google Analytics  Timeseries forecasting Analysis using R  Achieved customers who are likely to uninstall my App or not by prediction model Achievements:  Form Field Analysis helped to update the Form shown to the users in a simplified way  Site Search Analysis provided right set of keywords users do search in the website  Presented Successful training on Google Analytics, DataLayer automation Tool  Boosted 6% in conversion rate & 55% in CTR for mobile-site optimization Work Experience (6 Months) Apr 2015- Oct 2015 Gupta Power Infrastructure Limited, Bhubaneswar Business Analyst  Production Planning and Control Execution for House wire Division  Preparing Performa Invoice after receipt of order  Monitoring of production process and highlighting the bottlenecks  Creation of Sales order , maintaining views and checklist in SAP Responsibilities  Maintaining Material Master data in SAP  Follow up with Production , dispatch & billing team for proper execution of orders  Preparing stock status sheets & pending for customers & stock transfer.  Strategy for Mapping for Odisha State, and Optimal Inventory Model. Achievements  Strategy for month-wise capacity planning, Production planning for 1 year  Identified Major gap in Sales helped in capturing untapped markets. Internship Triveni Sarees, Surat. Description (3 Months) E-Retail Analytics Apr ’1 – May ’31  Sales Data visualization, Optimal Inventory Model, Vendor Rating, Product Clustering, Sales Forecasting, Generating reports and Dashboard.  Proficiency with Excel, R, R-Studio, SPSS, Tableau Visualizations. Learning  Data analysis using tools to predict, forecast, stock position update, vendor rating.  Study the literature thoroughly on what we are applying. Muttada Sasibhushan PGDM, IIM Ranchi, Mobile No: -, Email-id:- Increases sales by 7% over a 6-month period with the forecasting price model  Developed vendor rating and Order Cancellation to improve the efficiency. Achievements  Found right set of products which has similar characteristics by clustering.  Implemented Optimal Inventory Model to set the right inventory at stock points  Created Dashboards for weekly and monthly reports visualizations  Found grey areas in the product category to focus on a particular product sale. Positions of Responsibility  Coordinator in Technology Committee member in IIM Ranchi. Aug ‘13 – Mar ‘15  Coordinator in Design team TedX IIM Ranchi. Aug ‘14 – Mar ‘15  Volunteer in National tech fests in Technozion and spring spree 2008-09. Oct’11 – Mar’12  Executive Member in Innovation and Entrepreneur club, NIT-Warangal, 2010-11. Jul’10 – Apr’ 11  Executive Member of Painting club for 2 years. Jul ’10 – Apr ‘12 Skills:  R, Python, Excel, Google Analytics, Tableau.  Machine learning/Statistical Models: • Logistic Regression techniques: Developed model to predict the customer satisfaction • Sentimental Analysis: Understanding the Positive and negative reviews or comments of the users • Cluster Analysis: Created Audience segmentation based on different traits • Decision Tree + Random Forest – predicting the Uninstall of Apps based on user behavior • Time series Analysis: Forecasting daily, weekly, monthly data of business metrics  Google Analytics certified, Web Analytics, Mobile Analytics, Ecommerce Analytics, Google Tag Manager, Google Datastudio, Google Optimize, Google BigQuery Extra-Curricula’s  Won 3rd prize in Inter college chess tournament MUNERA 2011.  Playing Chess, Sudoku, Lyricist, keyboard-playing, reading fiction novels and inspirational