Experience

Dec 2021 - July 2023 Machine Learning Engineer at L&T Technology Services

– Applied numerical models leading to a 30% increase in
precision for tumor characterisation.
– Executed seamless integration of Data Analytics with a
predictive algorithm, ensuring comprehensive and insightful
analysis of medical data.
– Created and optimised Extract, Transform, Load (ETL)
processes, ensuring efficient data movement and integration
across systems.
– Engaged tumor marker visualisation techniques, leading to a
40% improvement in data comprehension among medical
professionals.
– Leveraged Python, SQL,NLP (Natural Language Processing) and
Machine Learning Models(PyTorch),fine-tuning large language
model to achieve tangible outcomes in tumor analysis,
including a 20% reduction in diagnosis time.
– Conducted Exploratory Data Analysis (EDA) on extensive
datasets, identifying 15 key discriminative features
critical for laparoscopic video analysis.
– Engineered a deep learning-based classification model with
an accuracy rate of 95% in identifying bleeding events
during laparoscopy, leading to a 50% improvement in
surgical monitoring.
– Maintained a pivotal role as the Single Point of Contact
(SPOC) for a US client, ensuring effective communication,
understanding project requirements, and and fostering a 30%
increase in client satisfaction.
– Performed systematic analysis on model predictions,
unveiling insights that improved overall system performance
by 25%.

June 2021 - Nov 2021 Data Analyst at Skyislimit Technologies

– Managed end-to-end data collection processes, ensuring a
95% accuracy rate and completeness in retail data, while
also conducting data cleaning and validation procedures to
uphold data quality and reliability, and executing data
modelling and data warehousing initiatives to enhance the
data infrastructure.
– Transformed data into actionable insights through
predictive modelling, resulting in a 15% increase in
marketing ROI and a 10% reduction in merchandising costs.
– Proficiently utilised tools such as Python, SQL, Machine
Learning Models,PyTorch, Linux, MongoDB, Git, and Github to
drive innovation and efficiency in retail operations.

May 2020 - May 2021 Backend Developer at Chips N Bytes Technologies

– Responsible for creating and maintaining the backend
technology of websites, including servers, databases, and
applications.
– Architected and developed web applications for eCommerce
and college websites using Laravel, Vue.js, HTML, CSS,
JavaScript, Bootstrap Vue, and SQL. Implemented seamless
functionality and optimised user experience, resulting in a
remarkable 25% increase in user engagement and an
impressive 20% decrease in bounce rates.