Saksham Awasthi

About Saksham Awasthi

I\'m an Analytics Professional with 8+ years of experience, currently serving as AVP Data Scientist at Synchrony, part of the Analytics Acceleration team. Our team majorly focuses on creating solutions and setting strategies for complex use cases by implementing advanced analytics. Here are some examples: creating optimal product target groups using decision trees, segmentations using unsupervised technique, forecasting through time series analytics, conducting A/B Testing, analyzing results with control groups, and resolving text-related challenges using NLP.Previously, I served as the Lead Data Scientist at Dunnhumby, working within the Global Media Marketing team. In this role, I was responsible for planning, executing, and analyzing targeted campaigns across social media platforms for retail and media clients in the US, Brazil, China, and Malaysia. Collaborating with my team, I focused on driving innovation through machine learning, deep learning, and business intelligence to refine the process of selecting and evaluating target audiences.Before that, I gained two years of valuable experience as an analytics/data science consultant in the Credit and Risk domain, primarily focusing on the US market. During this time, I actively engaged with business requirements, applying various machine learning techniques to both supervised and unsupervised use cases.Skills:Deep Learning, Machine Learning, Natural Language Processing, Time Series Forecasting, Data Mining, Text Mining, Business IntelligenceTools:Python, Pyspark, SAS, Hive, PowerBI, Tableau, SQL, Excel

Experience

1. AVP, Acceleration Analytics

   Synchrony

   Aug 2023 — Present · Hyderabad, IN

   Collaborating within an Analytics Acceleration team to address complex analytical challenges and deliver rapid solutions:Developed the robust ARIMA/SARIMA forecasting model with MAPE less than 10% and forecasted the FY-25 sales for syf credit product.A deep driven analysis to understand the underlying factors contributing to the sales decline for one of our most popular co-branded card, even quantified the impact of macro economic factors using regression, rectified the recent changes and created the strategy to increase the boost in the sales. Created share-of-wallet segmentations using an unsupervised technique (K-means) to understand customer behavior when choosing different tender types and to strategize shifting customers towards using SYF financial products.Lead a POC of a cross-selling segmentation plan for three major clients. Used a Decision Tree to identify 25% of customers who, when acquiring another SYF product, tend to spend more on their current products.Examined the influence of Native App logins on customers with active accounts, revealing a increase in sales compared to users who do not utilize the app used the Greedy Search Algorithm.Created and Automated the Executive dashboard to track the MTD YTD and WTD performance of the loyalty program for US retail giant.

Education

• Lakshmi Narain College Of Technology

  Bachelor of Engineering (B.E.), Mechanical Engineering

  2013 — 2017

• Maharishi Centre for Educational Excellence, Lambakheda, Berasia Road, Bhopal

  High School

• Maharishi Centre for Educational Excellence, Lambakheda, Berasia Road, Bhopal

  Higher Secondary, PCM