Suyash Lagad

AI/ ML Intern @ Lennox

About

Hello, and Thank you for stopping by! With 4 years of extensive experience in Data Science, I bring a demonstrated track record of working and delivering exceptional results on numerous flagship projects for largest home improvement retail corporation in US. I am proficient in utilizing advanced statistical tools and techniques to analyze and interpret complex data sets, while consistently taking a leading role in driving end-to-end machine learning pipelines from solution design to deployment. My strong expertise includes developing forecasting models, optimization strategies, and personalization systems using a wide range of machine learning algorithms. I love problem solving and always try to find different possible paths to reach to an optimal solution. I possess a versatile skill set encompassing a wide range of core competencies and technical expertise. Allow me to highlight my expertise in the following key areas: Core Competencies: Data Science, Machine Learning, Predictive Analysis, Statistical Modeling, Deep Learning, Natural Language Processing (NLP), Google Cloud Platform, Data Visualization, Data Structures & Algorithms, Story boarding, Project Management, Agile Methodologies Technical Skills: Python, SQL, R Programming language, Google Big Query, Jupyter Lab, Pyspark, Apache Airflow,Cloud Computing, Git, Tableau As a Data Scientist, I am deeply passionate about leveraging data to solve real-world industry problems and drive business outcomes for organizational success. When I'm not at work, I'm probably on a motorcycle, hiking a trail, or planning my next adventure!

Country

United States

City

Dallas

Industry

Research

Skill

Dashboards, Communication, Stakeholder Engagement, Leadership, Team Management, Statistical Data Analysis, Google Cloud Platform (GCP), A/B Testing, Apache Airflow, Google BigQuery, Hypothesis Testing, Audience Segmentation, SQL, Machine Learning, Deep Learning, Python (Programming Language), Data Analysis, Statistics, Data Visualization, Data Science

Experience

AI/ ML Intern

Lennox

2025-6 - Present · 1 yr 4 mos

Dallas, Texas, United States

Apprentice Leader

Mu Sigma Inc.

2024-1 - 2024-5 · 5 mos

Bengaluru, Karnataka, India

* Leading a team of 6 members, fostering clientele relationships and developing innovative strategies to achieve business objectives for the retail and e-commerce projects * Upskilling 10+ new joiners to develop analytical and communication skills by conducting technical and business sessions * Understanding and identifying the projects taken up by customers and developing probabilistic models using XGBoost algorithm to target the audience having high propensity of taking up specific projects

Data Scientist

Mu Sigma Inc.

2021-1 - 2023-12 · 3 yrs

Bengaluru, Karnataka, India

* Developed a classification model to identify customers early on in their journey of undertaking an outdoor project using input features as Purchase/browse signals, demographic signals and predicting propensity scores for potential customers and increasing browse and sales lift compared to the heuristic rules * Enabled 4x improvement in ROAS (Return on Ad Spend) by formulating an audience scoring methodology based on a heuristic RFM segmentation approach * Analyzed the relationship between sales and weather metrics and generated optimized rules by building a decision tree classification model for audience selection leading to increase in spend per user and ROAS * Lead a team of 3 members to develop persona and achieved $5 Increment in ROAS over quarters and facilitated tailored targeting by creating customer profiles based on the project journey, demographic indications using heuristics and the K Means clustering machine learning algorithm * Collaborated with Data Engineering team for automating Audience Delivery through Airflow pipeline, eliminating manual intervention and reduced refresh time by > 40% * Planned and executed more than 10 A/B tests to find optimal audience selection strategy which led to significant increase in sales and conversion * Creation and automation of process to check coupon performance for various campaigns * Identified a coupon fraud which led to a loss of $1.5M, prompting the immediate halt of the campaign * Identify and target the potential users by email campaigns and analyze the performance of the campaigns using Email marketing KPIs at various levels which gave the capability for business to plan the marketing strategies accordingly