Sulakshna Mallik

Drawing from my background at IIT Kanpur, I am well-positioned for both Product Management and Data Analysis roles, bringing a strong technical foundation and practical experience. In Product Management, I've worked on the Go-to-Market for a construction marketplace MVP at BUILTXSDC, which involved user research through various methods, designing landing pages with A/B testing, and conducting landscape analysis of the market.... Simultaneously, I've built significant data analysis skills through roles at CONNECTEDH, where I analysed appointment scheduling data and created dashboards, and SCHLUMBERGER, focusing on collecting, cleaning, and analysing time series data for procurement using techniques like ARIMA and LSTM.... My machine learning projects further highlight my data capabilities, including water quality mapping and forecasting vegetation dynamics using LSTM/RNN.... My technical toolkit includes C++, Python, Java, SQL, alongside tools such as Pandas, NumPy, Scikit-learn, Tensorflow, etc.

Currently at BUILTXSDC, I'm involved in Product Management & Marketing for a Construction Marketplace MVP Go-to-Market1, which includes conducting User Research, designing landing pages with A/B testing, and performing Landscape analysis of the Indian market.... Simultaneously, I apply Data Analysis skills for Steel & Cement Procurement Strategy, analysing 20+ years of time series data using ARIMA and LSTM to forecast prices and discover seasonality, contributing to a 5% cost reduction.... My role also covers Business Development, crafting reports and generating leads. Previously, as a Field Engineer Intern at SCHLUMBERGER (SLB), I focused on Operational Efficiency & Risk Management, managing inventory, enhancing safety, and creating standard operating procedures that reduced operators. I also gained experience as a Data Analyst Intern at CONNECTEDH, analysing appointment scheduling data and creating dashboards, and as a Data Summer Intern at the National University of Singapore, working on Time Series: Image Modelling to forecast vegetation dynamics using ML techniques like LSTM/RNN.

my education includes a BS + MS (Dual Degree) from the Indian Institute of Technology, Kanpur, completed from 2019 to 2024. I achieved a strong academic record with a CGPA of 9.3/10.0. My coursework has provided a solid foundation in key areas, including Probability and Statistics, Microeconomics, Macroeconomics, Econometrics, Financial Econometrics, Calculus & Linear Algebra, Differential Equations, and Machine Learning. Additionally, I have supplemented my formal education with specific programmes like the Neuro Match Academy: Foundational Models in Summer 2024 and the Product Management Camp: Doremonden.