Headline

Senior AI/DL Data Engineer

About

As a data scientist with over two years of professional experience, I bring a strong foundation in data analysis, machine learning, and statistical modeling. I create predictive models and work with complex data sets to identify patterns and trends that drive valuable business insights. My skills in Python, R, and SQL allow me to clean, preprocess, and manipulate data effectively. Additionally, I have experience as a full stack developer, building and maintaining dynamic websites and applications. My expertise spans both front-end and back-end technologies, enabling me to deliver seamless and intuitive user experiences. I excel in data visualization, creating compelling representations that clearly communicate insights to stakeholders. My attention to detail, strong analytical skills, and collaborative approach make me a versatile asset in any role. I strive to leverage data-driven insights and full stack development capabilities to support strategic decision-making and create impactful digital solutions.

Location

Bengaluru

AI stack

claude code

claude

codex

cursor

OpenAI Agents SDK

Otter.ai

Work experience

Senior AI Data Engineer at Qure.ai, Mar 2025 - Present · 1 yr 6 mos, Bengaluru, Karnataka, India

Senior Data Analyst at Factspan, Aug 2024 - Mar 2025 · 8 mos, Banglore

Data Analyst at Factspan, Aug 2022 - Mar 2025 · 2 yrs 8 mos, Banglore, Developed a semantic segmentation model for retail images of large datasets using TensorFlow, which accurately segmented different objects within the images. Created an image classification model for identifying and categorizing different images using Python programming language. Contributed to the development of a virtual clothing try-on product, which allowed customers to visualize how clothes would look on them before making a purchase. Utilized various data visualization tools such as Python, Tableau, Hive, SQL, and Snowflake to transform raw data into easy-to-understand visuals that provided actionable insights. Designed and developed key performance indicators (KPI) dashboards for Baptist Health South Florida, enabling stakeholders to monitor and track important metrics in real time.

Data Scientist at Fynn Labs, Nov 2021 - Jan 2022 · 3 mos, Assam, India, • Part of a biotech startup to start a home checkup service with online booking which would offer various medical checkups. Conducted market analysis of the medical market in India to launch the company’s offering and services. Studied the general traits of customers and did market segmentation in the bases of geographic, demographic, psychographic, behavioral factors. •Developed data-driven strategies to increase customer acquisition, customer retention, sales. Utilized different techniques to analyze data to understand customer preferences and behavior to optimize the company's marketing products offerings and customer experience • Contributed to the success of the biotech startup by providing insights market analysis and strategies for growth.

Data Science Specialist at Freelance, Oct 2020 - Nov 2020 · 2 mos, • Built a regression model to predict future sales transactions based on money spent on 10 different sources • Utilized Python programming language for data preprocessing, model building, and evaluation • Conducted exploratory data analysis (EDA) to gain insights into the relationships between variables • Experimented with random forest and k-nearest neighbors (KNN) models to identify the best-performing algorithm • Delivered actionable insights to stakeholders and provided them with the results of the regression model • Optimized spending on sources that lead to maximum sales transactions by identifying the most influential variables in the model. • Focused on end-to-end implementation of the project, from data preprocessing to model deployment, ensuring a seamless experience for stakeholders.

Data Analysis and Design at Electronic Corporation Of India Limited.(Ecil), Jun 2020 - Jul 2020 · 2 mos, Hyderabad, Telangana, India, • Analyzed data generated by simulations of antenna structures to identify patterns and trends that affect stress and strain. • Developed a machine learning model to predict stress and strain based on initial conditions using Python programming language. • Utilized regression analysis and random forest algorithms to build the predictive model. Preprocessed the data by cleaning and scaling the variables to improve model accuracy. • Conducted exploratory data analysis (EDA) to identify the most important variables in the model. • Collaborated with the simulation team to understand the physics of the problem and incorporate domain knowledge into the model.

Education

Master of Technology - MTech, Structural Engineering, National Institute of Technology Karnataka

Bachelor's degree, Civil Engineering, Sri Venkateswara College of Engineering, Tirupati