Abhijeet L.
Data Scientist & Full-stack developer
Enthusiastic Data scientist and Machine learning developer with more than four years of experience.
Abhijeet is familiar with the gathering, cleaning, and organization of data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic, and other analytical techniques. Has a significant background in Deep Learning, NLP, Machine Learning, and Predictive Modelling.
During his career, Abhijeet has also worked as a full-stack developer with different languages and frameworks and has gained a deep knowledge of various techniques.
Main expertise
Angular
4
years
Flask
4
years- Data Engineering 4 years
Other skills
Apache Kafka
1
years
Selected experience
Employment
Geospatial Data Scientist
Built AI - 9 months
Developed name entity recognition(NER) model to parse UK addresses into the various component and it boost customer engagement rate.
Developed digital twin for Innovate UK.
Developed NLP algorithm to extract lease length of properties in UK.Technologies:
- Technologies:
- Data Science
Python
-
Flask
Research Associate
King’s College London - 9 months
- Built various machine learning models related to Healthcare.
- Contributed to the development of novel drug discovery using Deep Learning.
- Improved existing machine learning model performance.
- Leverage transfer learning to solve complex problems in Healthcare.
- Built machine learning model on highly imbalance dataset.
- Ran statistical analyses within software to process large datasets
Technologies:
- Technologies:
- Machine learning
- Data Science
-
Python
R
Data Scientist
Advarisk - 5 months
- Developed a machine learning model to match the addresses
- Contributed to the revolutionized financial forensic domain in India and developed web applications.
- Contributed to the development of financial forensic web applications.
- Developed an API to monitor and detect various financial activities.
Technologies:
- Technologies:
TensorFlow
Django
-
Angular
-
Python
-
Flask
Data Scientist
Aspect Ratio, Global Center for Analytics and Forecasting at Merck & Co. - 2 years 5 months
- Built a web-based forecasting model for cancer patient progression.
- Built an LSTM-based deep learning model to forecast the revenue of medical drugs.
- Built a deep learning model to detect Covid-19 from the X-ray of the chest.
- Applied statistical and algebraic techniques to interpret key points from gathered data.
- Extensively used the scientific library to perform complex calculations.
- Developed polished visualizations to share results of data analyses.
- Scaled analytical capabilities across all business areas, evolving analytics to influence company’s strategic planning and executives’ decision-making.
- Provided comprehensive analysis and recommend solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods to assess factors impacting growth and profitability across product and service offerings
Technologies:
- Technologies:
-
TensorFlow
-
Django
-
Angular
-
Python
-
R
-
Flask
Education
MSc.Data Science
King’s College of London · 2020 - 2021
Standalone courseAdvance Computing
Centre for Development of Advanced Computing · 2017 - 2018
BSc.Computer Science
University of Pune · 2013 - 2017
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