Divya is available for hire
Hire DivyaDivya Punj
Verified Expert in Engineering
Machine Learning Developer
Location
Dallas, TX, United States
Toptal Member Since
March 25, 2019
Divya is a senior data scientist and developer with 12 years of experience in predictive analytics covering a wide range of domains from capital market risk management to customer segmentation in eCommerce, both at the individual contributor and leader/manager level.
Portfolio
Aviall, A Boeing Company
R, Python, Artificial Intelligence (AI), Machine Learning Operations (MLOps)...
Sears Holding Corporation
Artificial Neural Networks (ANN), GPT, Natural Language Processing (NLP)...
HouseJoy
Digital Marketing, Machine Learning, Python, R
Experience
Availability
Part-time
Preferred Environment
Python, MacOS, Python 3, Machine Learning
The most amazing...
...problem I've solved for, at the height of the credit crisis, was "probability of default," used in the calculation of CDS.
Work Experience
Head of Data Science
2018 - 2019
Aviall, A Boeing Company
- Designed, implemented, and maintained a smart quoting system, which dynamically scores the probability of an RFQ to be converted into an actual sale. The system was prototyped in R and Python and then fully developed on H2O over a Hadoop cluster. The implementation has been done by deploying a Java executable.
- Designed and implemented the most probable value of various aviation parts and consumable. The model takes in all the historical as well as static data of the airlines' partners and predicts the most probable price at which the supplies can be procured within the required timeframe. The model requires prediction of requirements based on seasonality, fleet mix, and airline operation and uses algorithms including random forest, GBM, custom ANN, and more. The major achievement was in implementation, where I built out a model to pick the right model to ensure that there is no failure due to old models being used or a model going wrong due to changes in the nature of the data. All of it is automated.
- Built prediction of prices of airplane spare/replacement parts. Currently, there is no way to find out the fair market value of these products.
- Used NLP and LDA analysis to analyze client requirements and co-joint analysis.
- Developed smart quoting, resulting in an efficiency of USD $15 million in addition to revenue per month at its lowest performance.
- Created the MPV project, resulting in an added profit of USD $8+ million in Phase 1 of the implementation.
- Scaled both the projects to all of Boeing's subsidiaries for supply chain efficiency.
- Developed the FMV project, bringing in USD $32 million more in revenue value.
Technologies: R, Python, Artificial Intelligence (AI), Machine Learning Operations (MLOps), Data Versioning, Data Scientist, AI Programming
Head of Analytics, Special Projects Office of the CEO
2016 - 2018
Sears Holding Corporation
- Designed the order delivery algorithm for all the deliveries to be made by the SWY relay app. Dynamic creation of multiple routes for deliveries was optimized to minimize delivery expenses. The solution had real travel time incorporated using Google Maps API.
- Created scenario analysis for any new business initiative to understand the zone of profitable operations—a typical analysis would consist of 50+ billion scenarios.
- Created a technician routing algorithm for Sears' home services division. This required conceptualization of the entire route planning into parallel space-time continuum which converges/overlaps for certain conditions and then diverges again.
- Created a predictive analysis algorithm which would predict the products that a customer would be looking to buy on SYW Relay, thereby reducing the time taken to order by members. Predictive analysis on SYW Relay has resulted in extremely high continuity levels of the customer cohort, i.e., more than two orders per month from every customer.
- Used NLP and LDA to understand the feedback of customers and isolate the problem areas. This entailed topic modeling and sentiment analysis both at the same time.
- Saved $10 million by creating the delivery routing algorithm for the SYW Relay business.
- Saved $22 million by creating the technician routing algorithm.
- I had designed a chatbot while I was working at Sears. This chatbot was able to understand the intent of the user and provide a suitable response. For the same, we had created an intent map based on past interactions with the customers. We had a yearly saving of 2 million dollars for this project.
Technologies: Artificial Neural Networks (ANN), GPT, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), R, Python, Data Science
Head of Analytics
2015 - 2016
HouseJoy
- Optimized CPC to achieve the lowest possible values.
- Analyzed the click-through rate (CTR) to increase the conversion of visitors into buyers.
- Optimized for better conversion rate.
- Fine-tuned Facebook campaigns to increase conversions by 250%.
- Increased CTR by 300%.
- Reduced the online CPC to 30% of its original value.
- Increased customer engagement by 200%.
Technologies: Digital Marketing, Machine Learning, Python, R
Manager Analytics
2014 - 2015
Snapdeal.com
- Analyzed CTR to increase conversion. Created customer segmentation analytics resulting in an increase in conversions by up to 100% and at least 50% in sub-categories of the fashion division.
- Created customized predictions of related products for each segment of customers, resulting in higher website traction.
- Optimized the website for better conversion rate.
- Used cluster analysis to segment customers for better prediction of behavior.
- Create a new data analytics process for internal use to identify process lags or process lapses.
- Increased the CTR by 20%.
- Introduced new product features which increased the gifting category sales by 200% and musical instruments by 70%.
Technologies: R, Python
Lead Analyst
2012 - 2014
S&P
- Used machine learning (LDA and NLP) to understand the sentiment of each event on pricing.
- Created Excel-based models to test for the analytics output of the system.
- Create cross-functional MIS reports which would help various departments leverage each other’s capabilities.
- Generated an additional revenue of $4 million.
- Created two new product lines.
Technologies: Python, R
Senior Research Manager
2011 - 2012
Gartner
- Created Voice of the HNW Client: Customer Interaction Analysis, a strategic study on understanding the requirements and expectations of high-net-worth clients from their asset management advisors and firms.
- Wrote Channel Volumes: Channel Preference Analysis (Segmentation), an engagement designed to help banking strategists to understand the emerging trends in the consumer banking channels. Identified and built capabilities to succeed in dynamically evolving banking channel preferences for the consumers.
- Published Consumer Financial Monitor, which tracks quarterly sentiments and current financial status of financial consumer segments across the world.
- Managed research projects including preparing timelines, scoping, creating, and delivering strategic research.
- Managed and advised over 150 heads of strategy at banks and asset management organizations across North America and Europe.
Technologies: Python, R
Solutions Manager
2007 - 2008
Calypso Technologies
- Created requisite analytical models to support the forecasting, pricing, and risk management needs of the clients for the EMEA region.
- Provided pricing expertise on exotic derivatives products in interest rates.
- Provided middle office risk management expertise.
Technologies: Python
Finance Engineer
2006 - 2007
Pyxis Technologies
- Launched structured European long-dated options for a leading brokerage firm.
- Worked on an external consulting project for a leading brokerage firm to launch their new range of structured derivatives products. It involved time series extension of Black Scholes implied volatility surface, using Garch (1,1) and ARIMA models. Worked on applying the Heston model as well.
Technologies: Python, MATLAB
Software Engineer
2005 - 2006
Tavant Technologies
- Resolved problems proactively and retroactively in the application to enable 24X7 functionality.
- Helped gather requirements and design the workflow process for the client's mortgage product SNAP, which dealt with customer acquisition and retention. Here, I gained an insight into all programming skills.
Technologies: SQL
Experience
NLP and LDA Analysis to Understand Customer Feedback
https://www.youtube.com/watch?v=oKAgkai45k8&t=18sTypically, organizations seek customer feedback using surveys. Many potential data is lost using this method because most people either don't respond or try to respond and find that the things they would like to communicate are not possible given the survey's prescriptive framework.
This issue is mitigated by analyzing customer contact center data or freeform text feedback from customers to glean the information that a customer would seek via surveys and much richer data that would not have been covered there. A company using this method will save potentially millions of dollars by replacing their customer surveys with this sort of method.
This issue is mitigated by analyzing customer contact center data or freeform text feedback from customers to glean the information that a customer would seek via surveys and much richer data that would not have been covered there. A company using this method will save potentially millions of dollars by replacing their customer surveys with this sort of method.
Skills
Languages
Python, R, Python 3, SQL
Libraries/APIs
Pandas, NumPy, Scikit-learn
Paradigms
Data Science, Business Intelligence (BI), Agile
Other
Applied Mathematics, Machine Learning, Data Analysis, Natural Language Processing (NLP), Linear Discriminant Analysis (LDA), Agile Data Science, GPT, Generative Pre-trained Transformers (GPT), Artificial Intelligence (AI), Machine Learning Operations (MLOps), Data Versioning, Data Scientist, AI Programming, Financial Data, Mathematical Finance, Artificial Neural Networks (ANN), Digital Marketing
Tools
MATLAB
Education
2009 - 2011
MBA in Finance and Marketing
FMS Delhi - Delhi
2001 - 2005
Bachelor of Technology Degree in Engineering Physics
IIT Bombay - Bombay
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