Chirayu Kainya Email & Phone Number

Mumbai Metropolitan Region

Building Fynd

Mumbai, Maharashtra, India

Mumbai, Maharashtra, India

Summary:1. Led the development and launch of a new product that improved the customer experience by 10%2. Used data analytics to identify customer pain points and develop solutions that met their needs3. Managed a team of engineers and designers to ensure the product met the highest quality standards4. Successfully launched several new features that resulted in increased user engagement and retention1. Tools to Enhance Productivitya. Created Python-based tools to automate report generation, reduce time spent on debugging, and reverse incorrect entriesb. Optimized DP capacity utilization by sending manifests and adjusting timeslotsc. Improved live items by matching RTO/return received lost data with orphaned itemsd. Developed a Python-based tool to detect and automatically reverse incorrect entries, saving 2 minutes per erroneous entry2. Reporting & Analysisa. Reduced RTO by 30% through address verification, saving 15% of RTO-related costs.b. Solved 5% shipment cancellations by reassigning DPs within 2 hours for non-serviceable pincodes.c. Reduced cancellations by 1% by effectively communicating updated promise dates to customers.3. Impactful Work in Research Labsa. Achieved over 90% accuracy in forecasting demand using ARIMA models on Pharma datab. Enhanced addresses and flagged incorrect/non-deliverable addresses within the Central Customer Profile. Achieved overall 80%+ accuracy by training custom LLM models for entity recognition and using Google API to enrich missing informationc. Resolved issues related to Data Quality, Query Versioning, Data Lineage, and Data Cataloguing for BigQuery Data. Created an automated EDA solution for efficient data analysis, saving valuable time for analystsd. Conducted Exploratory Data Analysis on Seller Rejection Reasons, crafted feature on inventory updates, offline sale, and store*sku performance, and trained a Binary Logistics Regression Model using XGBoost, achieving an 80% accuracy rate

Bengaluru, Karnataka, India

1. Led the development of a comprehensive tool to evaluate the effectiveness of portal offers on managing excess shipments, optimizing revenue, and enhancing customer engagement.2. Conducted in-depth Exploratory Data Analysis on customer orders and assessed the impact of ongoing promotional offers on the platform.3. Investigated the underlying causes of excess shipments, including issues related to inventory synchronization and operational challenges.4. Reduced excess shipments by 10% by implementing the insights from the data analysis.5. Saved the company 100L by optimizing revenue and enhancing customer engagement.

1. Led a data-driven initiative to optimize inventory and quality control, resulting in significant cost savings and improved customer experience.2. Developed a Python-based tool to identify orphaned items within the existing inventory and devise a process for their reintegration into the fulfillment centers, resulting in a 5% reduction in unproductive inventory and revenue of a few hundred crores Collaborated cross-functionally with Technology, Legal, and Finance teams to implement these solutions.3. Successfully brought 20 lakh orphaned items back into circulation through UPI matching and restocking, resulting in substantial cost savings worth hundreds of crores. This achievement was honored with the "Make It Happen - Individual Contributor" Award in the 2020-21 Annual Cycle.Conducted detailed exploratory data analysis on high-value items within the inventory and designed and implemented a user-friendly Python-based GUI tool to identify instances of manual pilferage.4. Implemented processes in fulfillment centers, including tamper-proof packaging and secure material transfer methods, resulting in a 4% reduction in high-value item pilferage within three months, translating to significant financial benefits.5. Created measurable reports to track progress in both orphan resolution and high-value item analysis. Automated report generation using Python to streamline and expedite data-driven decision-making.6. Conducted in-depth exploratory data analysis to identify and address quality issues with products. Developed a systematic process utilizing Python-based tools to recommend appropriate solutions, such as returns to vendors, liquidation, or refinishing.7. Successfully reduced the occurrence of bad quality inventory by a significant 40%.8. Led the planning and implementation of a Guided Putaway process that improved the productivity of the Putter by 125%, saving around 5 crore on a yearly basis.

Bangalore

1. Worked with the data science team to maintain the hygiene of the inventory and reduce losses.2. Performed exploratory data analysis (EDA) and predictive modeling to identify and implement improvements to the inventory management process.3. Set up a process to convert bad quality products into sellable inventory or liquidation.4. Deployed a Python-based tool to raise alerts for pilferage suspects, reducing pilferage by 3%.5. Developed a Python-based tool to reduce not-found (NF) losses during putaway, with an adherence rate of 95%.6. Led the implementation of tamper-proof packaging for high-value items, reducing losses in the return leg.7. Created visibility around losses due to return to origin and misshipment by doing EDA and visualizing the data using Python.

Banglore

Retail and Logistics Analytics Specialist - InfosysI had the privilege of working with the Retail and Logistics Analytics team at Infosys, where I contributed to various data-driven projects and played a pivotal role in optimizing processes and decision-making.Key Responsibilities and Achievements:Sales Data EDA and Anomaly Detection:Conducted comprehensive exploratory data analysis (EDA) on sales data using the R programming language.Identified anomalies by leveraging social media management and analytics software.Developed a user-friendly graphical user interface (GUI) using web scraping techniques and Python packages to automate anomaly detection, ultimately transforming it into a full-fledged project.Social Media Analytics and Sentiment Analysis:Utilized advanced analytics techniques, including sentiment analysis and key phrase extraction, to derive insights from social media data.Contributed to understanding customer sentiment and preferences, enabling data-driven marketing strategies.Visualization and Reporting:Proficiently worked with visualization tools/platforms such as Tableau and Adobe Analytics to create insightful reports.Generated product performance reports for a beverage company using IRI (Information Resources, Inc.), enhancing data-driven decision-making.Route Optimization and Pricing Strategy:Designed and implemented route optimization solutions for a logistics company using reinforcement learning and AI algorithms.Developed dynamic pricing strategies for a transport company, leveraging regression analysis to predict bid prices, leading to increased competitiveness in bids.In my role as a Retail and Logistics Analytics Specialist, I applied my expertise in data analysis, anomaly detection, and advanced analytics techniques to provide actionable insights and drive efficiency in the retail and logistics domains. My commitment to delivering innovative solutions has been recognized and appreciated by my colleagues and clients.

Mysore

completed Infosys fast track training program which involved data structures, object oriented programming, python, R , Oracle database and data analytics concepts like Probability distribution,statistical inference, time series analysis, machine learning concepts, etc.

India

Udacity's Data Analyst Nanodegree is a course taught by the industry experts including Facebook and Kaggle, based on cutting edge industry technologies in data science. The course is project based and we develop many projects during our course. I worked on python, R, mongoDB, Tableau and also learned a lot about interpreting statistics. I learned to explore data, find patterns in it and how to communicate the findings in the best way possible

Mumbai Area, India

I was a project head of Computer Literacy Program which aims at imparting basic Computer knowledge to MCGM Students.

Mumbai Area, India

I was a trainer at Master Training Program under CACR, where i have trained 40 teachers in Microsoft Office.

Mumbai Area, India

Worked as Regional Head for Computer Literacy Program & Master Training Program where in we train students & teachers In using Microsoft Office.

Mumbai Area, India

Parvarish is a project where in we help school students to get some extra piece of knowledge by keeping workshops on new technology, softskills training, etc

Mumbai Area, India

Worked as Admin & logistics manager where i had managed the scheduling of work & alloted resources for an event

Mumbai Area, India

Worked as a front end developer and developed a podcast page, 'PUNCH IT' using HTML5 , CSS3, bootsrap, javascript.

Mumbai Area, India

worked as a web developer and developed the website, makeitortakeit.in using HTML5,CSS3, javascript, bootstrap, php

Mumbai Area, India

Worked as Public Relations head of TCET-MUN where I managed the relations with delegates to increase the registration.

Mumbai Area, India

Worked as a trainer at Computer Literacy Program where in I have trained 40 MCGM students in Microsoft Office

I had help the company for making a database of schools and I also helped them to make the aptitude papers for various enterance exams

Mumbai Area, India

Worked as a Public Relationship Manager at Multicon W where i managed the relations with delegates to increase the registration.

Bachelor Of Engineering (B.E.), Information Technology

Activities and Societies: TCET MUN, Multicon-W, NSS, ISTE.As a Student I have organized events in my college.Both were International.

Hsc, High School/Secondary Diplomas And Certificates

Activities and Societies: Table Tennis Team, Maths clubI was a part of Table tennis team of my college. I took part in maths olymiad exams.

Ssc, High School/Secondary Certificate Programs

Activities and Societies: Table tennis, Maths & Science ClubsI was a part of Table tennis team of my school, I have participated in maths.