About
I'm Amandeep Singh Khanna, a data scientist at Fractal Analytics, Bangalore and an adjunct faculty at St. Joseph's University (SJU) Bangalore. Currently, I am exploring various facets of the Banking, Financial Services and Insurance (BFSI) industry. I have experience in building and deploying end-to-end solutions related to Business Intelligence (BI), Statistical modelling, Machine Learning (ML), Deep Learning (DL), Artificial Intelligence(AI), Natural Language Processing (NLP) and Computer Vision in the Phrama, Healthcare and Energy & Resources (EnR) domains.
Technical Skills
| Programming Languages | Python, R, Javascript, Shell(bash) |
| Web Technologies | HTML5, CSS3, R-shiny, Python-Flask, Wordpress, Jekyll, Ruby on Rails |
| Design & Prototyping | Figma, Adobe XD, Adobe Illustrator, Canva |
| Business Intelligence Tools | Google Data Studio, Microsoft Power BI |
| Machine Learning Algorithms | k-Nearest Neighbours, Naive Bayes, Linear/Logistic Regression, Classification & Regression Decision Trees, Random Forest, XGBoost, k-Means Clustering, Agglomerative Hierarchial Clustering, Multi-Layered Perceptron, Convvolutional Neural Networks(CNN), Long-Short-Term Memory Neural Networks(LSTM), Reccurent Neural Networks(RNN) |
| Dimension Reduction Algorithms | Singular Value Decomposition(SVD), Principle Component Analysis(PCA) |
| Deep Learning Frameworks | Tensorflow 2.0 |
Work Experience
| Data Scientist - Fractal Analytics | June 2022 - Present |
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Working as a Data Science consultant for a leading American Bank. |
| Data Scientist - Syneos Health | Aug 2021 - Jun 2022 |
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Providing data-driven solutions in the omni-channel marketting space to businesses in the pharma and healthcare domain. Performing promotional response analysis and execution of various marketting-mix models. |
| Data Scientist - Tata Consultancy Services(TCS) | Jun 2018 - Aug 2021 |
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Extraction of data-driven insights from both structured as well as un-structured datasets by performing knowledge discovery tasks like data acquisition, cleaning, integration and transformation. Performing predictive analytics using Statistical Modelling, Machine Learning(ML) and Deep Learning(DL) in the form of various proof of concepts(POC's) as well as full-fledged projects for businesses in the energy & resources and the oil & gas domain. |
| Data Science Intern - AnalytixLabs | May 2018 - Jun 2018 |
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Built a data-cleaning & pre-processing pipeline and fit a text classification model. Built a python-flask based GUI wrapper to act as a dashboard that provides real-time insights and aids in incrementally training the model. |
| Data Science Intern - Tata Consultancy Services(TCS) | Nov 2017 - Mar 2018 |
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Built data-cleaning & pre-processing pipelines on R and python for multiple dashboards using Power-BI, Tableau & Tibco Spotfire. Performing predictive analytics using Machine Learning(ML) and Deep Learning(DL) and developing various proof of concepts(POC's). |
| Technical Account Management Associate(TAM) - Amazon.com | Jul 2015 - Jun 2016 |
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Working closely with customers to provide support and advice on how they leverage the most values from Amazon Web Services(AWS). Compile periodic cloud operational and financial analysis reviews for customers. |
Education
| Master of Science(MSc) - Big Data Analytics | Jun 2016 - Apr 2018 |
| St. Joseph's College, Bangalore |
| Bacholer of Science(BSc) - Mathematics, Electronics & Computer Science | Jun 2012 - Apr 2015 |
| St. Joseph's College, Bangalore |