Jan 2023 – Apr 2023 · 3 mos · Gurugram, Haryana, India

• Trust and Safety Analysis (Policies)
• Data Augmentation and Seed Analysis: Performing Gap Analysis of pre-developed Machine Learning models for adult ads classification and filtering bad ad
• Performing RCAs (root cause analysis) on patterns in bad ads and device strategies to avert them for optimal user experience

Nov 2021 – Dec 2022 · 1 yr 1 mo · Melbourne, Victoria, Australia

• Reviews Analysis (NLP Modelling)
• Develop Automated Web Scrapping Script to extract reviews for the target organizations, analyzed the key factors like quality, cost, selection etc. using supervised NLP (Boost, LSTM, Random Forest) and unsupervised (Topic Modelling) ML techniques, also performed Statistical Test to perform significance testing in Python
• Stock Fundamentals Prediction (Quant Analyst)
• Developed Time-Series Forecasting model for prediction of different Stock Fundamentals for Portfolio Optimization using LSTM, XGBoost, Random Forest, SVM and ANN and Recession Probability Model
• Portfolio Optimization Model
• Integration of Back testing with Machine Learning Technique to Optimize Portfolio Performance in Terms of CAGR, Fama French Factors,Sortino ratio etc.
• Portfolio Optimization
• Worked on Markowitz optimization to diversify portfolio selection
• Used Cholesky decomposition to develop features for future covariance predictions enhancing portfolio diversification along with efficent frontiers to select the most optimal portfolios
• Strategy
• Developed automated analysis to augment decision making for portfolio diversification and optimization along with automated suggestions
• Competitive and Market Analysis to understand the decision making for portfolio selections (Qualitative Research)

Oct 2020 – Nov 2021 · 1 yr 1 mo · Melbourne, Victoria, Australia

• Top Rated Plus (Top 3%)
• Worked on different project met different people across the globe. Some of the special projects on my account.
• 1. Digital Marketing Analytics - Worked on forecasting and developing customer lifetime value
• 2. ED Tech Instructor - Supported and worked with a prominent ed tech instructor
• 3. Financial Analysis - Multiple projects on stock fundamental data using forecasting, machine learning and time series analysis
• 4. SQL Developer - Developed ETL Processing Scripts and automated pipelines for automated data ingestion
• 5. Interview Preparation Support - Prepared Multiple candidates for Interview (Data Science, Analyst and Engineers)

Jul 2020 – Aug 2020 · 1 mo · Melbourne, Victoria, Australia

• Customer Segmentation and Targeting for Campaign Effectiveness
• ● Cohort Analysis using unsupervised machine learning techniques, classification of customers based on credit history and buying behavior to develop customer journey life cycle and develop a Markov chain model to estimate probabilities of next possible states of customer based on historical data points. Developed pickel files in Python to store model and implement in production
• Technology Used - Python, SQL, PowerBI
• Methodology Implemented – K-Mean clustering, Markov Chains and Sanky Diagrams
• ● Probability distribution analysis - Extracted different sub-population within a wider population based on demographics and used the data to compute conditional and joint probabilities to rank the next most probable buy product to target each customer based on the ranked probability score.

Jun 2019 – Feb 2020 · 8 mos · Gurgoan

• Mapping unlinked card members
• ● Developed Probabilistic Matching framework (Fuzzy matching) to enhance pre-defined rules of matching leveraging different attributes of customer to improve matching accuracy gauged using different metrics like False-Positives and True-Positives (underlinked and overlinked)
• Product Analytics
• ● Performing adhoc analysis, gap-analysis and impact analysis on different business problems for a leading new product launched by enterprise to unify the data across different markets and leverage features of different market to enhance decision making ability of the organization
• ● Root cause analysis of issues like Data Ingestion and Data Linkage
• ● Performing Exploratory Data Analysis on different attributes that can be added in our matching framework to enhance accuracy

Jul 2018 – Jun 2019 · 11 mos

• Data scientist - Worked on Churn Modelling and developed decision tree model to predict churn of customer base for US Based Life Insurance Client
• Business Growth/Reporting - Developed different reports in Power BI (Python Based) and Tableau to pitch projects to new clients for the organization
• AWS Developer - Worked on AWS environment to implement hive based queries on the datalake, to prepare the datasets required for Machine Learning model training

Feb 2017 – Jul 2018 · 1 yr 5 mos

• Marketing Analytics - Developed Logistic regression model and acquisition logic in SAS/SQL/Python, and delivered lead conversion reports in Excel VBA/ Tableau
• Digital Image Feautre Extraction - Represented the company in Kaggel competition and developed algorithm to optimize model training and accuracy using texture analysis
• DB Developer- Managed a whole project and developed data base and schema to report different quality and cost metrics for a healthcare provider using SQL and SSIS. Delivered final report in Power BI

Aug 2015 – Jan 2017 · 1 yr 5 mos

Jun 2015 – Aug 2015 · 2 mos · Gurgaon, Haryana

• Worked and developed Machine Learning models to forecast and optimize cost of raw material for an entire chain of raw material. Developed Dashboards using Power BI. Secondly, leverages SVM algorithm to implement logic for quality issue detection in a manufacturing unit.

Jun 2014 – Jul 2014 · 1 mo · Bawana, New Delhi

• Heat Recovery Steam Generation, Working of Power Plant, and Different kind of control valves in Power Plant

Aug 2013 – Jun 2015 · 1 yr 10 mos · Dwarka, New Delhi

• Instrumentation and Control Department (B.E)
• Overall Percentage (74.0%)
• Departmental Ranker 2 in Fifth Semester(85.26%)
• Projects
• 1. Project Under Ms.Smriti Srivastava(Dean UG)
• Project on Human Identification, Activity Recognition (Bio-matrix)
• Frame Extraction (from Video dataset), Background Removal, Data reduction (PCA, LDA), GAIT Energy Extraction, WEKA
• 2. Project on Dicom image processing using MATLAB (Siemens)
• Use of MATLAB programming to analyse the dicom file used in medical imaging, converting of DICOM into JPEG images converting JPEG into DICOM, Extracting dicom image information and editing the information of patient using MATLAB
• 3. Project under Vijender Singh
• Use of genetic algorithm and other optimization technique to determine the parameters of Different filter for comparison of their performances.
• Publications
• Under the Springer Publication
• Advances in Signal Processing and Intelligent Recognition Systems
• Volume 425 of the series Advances in Intelligent Systems and Computing pp 245-255
• Performance Evaluation of S-Golay and MA Filter on the Basis of White and Flicker Noise
• Main author of the above publication under the supervision of Shivangi Aggarwal and Asha Rani
• The paper describes the comparison between the S-Golay and Moving Average Filter on basis of
• SNR comparison using White and Pink(Flickr) Noise

Jun 2013 – Jul 2013 · 1 mo · ITO,Delhi,India

• AXA Basics, CT, Molecular Imaging, MR Basics, US, X-Ray, DICOM file
• Project on Dicom image processing using MATLAB (Siemens)
• Use of MATLAB programming to analyse the dicom file used in medical imaging, converting of DICOM into JPEG images converting JPEG into DICOM, Extracting dicom image information and editing the information of patient using MATLAB