Talent's Information
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Location
Gurgaon, India
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Rate
$12.0 per Hour
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Experience
8.3 Year
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Languages Known
English,Hindi
Available for
Background Verification
40 Hr/Week
About Vidit
Meticulous Data Scientist with 8.3 years of experience executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing. Experienced at creating data regression models, using predictive data modelling, and analysing data mining algorithms to deliver insights and implement action- oriented solutions to complex business problems. Also Executing full life-cycle development projects; ramping up projects within time, budget & quality parameters, as per project management & best practice guidelines, targeting assignments in Data Science, Machine Learning, Data Engineering,Dashboarding and Computer Vision with an organization of high repute. Carry Strong Analytical, Debugging and Problem Solving skills. Equipped with Innovative mind- set to automate monotonous tasks for continuous improvement and efficiency.
Tech Stack Expertise
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Go Lang
Docker
5 Years -
Python
Python
7 Years -
AWS
AWS
5 Years -
Azure
Azure
5 Years
Work Experience
ML Developer
- January 2015 - March 2023 - 8 Year
- India
Projects
SODEXO CORPORATE GROUP[Forecasting And Predictive
- January 2018 - April 2023 - 64 Months
Technologies
Role & Responsibility
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Data Visualization & Predictive Analytics:
Steering rapid model creation in Python using Pandas, NumPy, SciKit-Learn & plot.ly for data visualization Constituting NLP models for Sentiment Analysis & Map Reduce modules for predictive analytics in Hadoop on AWS
Designing a real-time contextual behavioral personalization system via econometric & ML to predict customer behavior.
Worked on simulation environments like OpenAI Gym,Unity ML-Agents,and roboschools for training RL agents.
Applied several Re-inforcement techinques like reward shaping,policy optimization,exploration-exploitation trade-off.
Statistical Modeling & ML Algorithms:
Placed various machine learning techniques to build dynamic pricing models and maximize profitability Led the development of a performance assessment & pricing analysis platform via
k-NN Algorithm Formed multivariate regression-based attribution models using ad stock analysis from the digital marketing data.
Generated segmentation models using K-means Clustering in order to discover new segments of users.
Worked on model based-based and model-free reinforcement learning approaches.
Excellent knowledge and hands-on expertise on Markov’s Decision Process(MDP’s) and Bellman Equations used in Re-inforcement Learning.
RESPONSIBILITIES:
Understanding and analyze the requirements in technical and functional aspects.
Handling different clients,direct interactions with business people.
Created record type, actions, related actions, and filters,taking daily standups.
End-to-end used case deliverables from Data Engineering to ML model deployment.
Tested and validated the application in different testing environments.
Marketing/Customer Analytics
- August 2017 - December 2017 - 5 Months
Technologies
Role & Responsibility
Segmentation & Clustering:
Applied large scale & low latency machine learning for non-parametric models & high-dimensional data visualization
Created multivariate regression-based attribution models & segmentation models using K-means Clustering
Utilized high dimensional data sets from users/media agencies/3rd-party apps via PCA, LDA & Kernel Approximations.
Applied re-inforcement learning algorithms such as Q-learning,SARSA and deep re-inforcement learning.
RESPONSIBILITIES:
Understanding and analyze the requirements in technical and functional aspects.
Handling different clients,direct interactions with business people.
Created record type, actions, related actions, and filters,taking daily standups.
End-to-end used case deliverables from Data Engineering to ML model deployment.
Tested and validated the application in different testing environments.
Key Achievements:
Developed an additive scoring model for QSM and a logistic regression model to yield a K-S statistic of 51.5 Deployed SGD, Logistic Regression, Random Forest, SVM, etc. for classification models to boost avg. click rate by 34%
Churn Prediction
- April 2015 - July 2017 - 28 Months
Technologies
Role & Responsibility
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Data Analytics & Model Development:
Directed model development, validation, testing and implementation of analytical products and applications.
Developed an additive scoring model for QSM & a logistic regression model which yielded a KS statistic of 51.
ML Algorithms & Statistical Analysis:
Stationed advanced text mining algorithms to identify search intent latent in individual keywords.Tested and implemented decision trees, random forests and ensemble models using bagging and boosting.
Employ Principle Component Analysis to analyze collinearity and reduce the dimensionality of the dataset.
Footfall propensity analysis on a monthly level campaign which increases campaigning sales rate by 10- 15 % and reduces the customer churn rate by 8- 10%
RESPONSIBILITIES:
Understanding and analyze the requirements in technical and functional aspects.
Handling different clients,direct interactions with business people.
Created record type, actions, related actions, and filters,taking daily standups.
End-to-end used case deliverables from Data Engineering to ML model deployment.
Tested and validated the application in different testing environments.
