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K Varun

Bangalore Karnataka, India

Phone: xxx-xxx-xxxx

Email: xxx@xxxx.xxx



  • Looking For: data scientist, data and applied scientist

  • Occupation: IT and Math

  • Degree: Master's Degree

  • Career Level: Qualified

  • Languages: English

Career Information:

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Highlights:Leading impactful data science projects, including developing predictive models, improving business outcomes through advanced algorithms, and driving client success with innovative solutions.

Skills:Python, MySQL, Machine Learning, NLP, PySpark, R Programming, MongoDB

Goal:To secure a challenging and rewarding position in Data Science field with a company that offers visa sponsorship, where I can leverage my [mention your key skills or experience] to contribute to the organization's success and grow professionally in a dynamic work environment


Experiences:

R&D Engineer 03/2023 - current
Ipsoft Global Services, Bangalore, Karnataka India
Industry: IT
Demonstrated strong client management and communication skills by leading a predictive modeling project, ensuring alignment with client goals. Utilized expertise in data cleaning, processing, and analysis, while implementing advanced classification algorithms. Designed comprehensive data quality pipelines and visualizations in Power BI. Transitioned models to PySpark, enhancing scalability and efficiency.
? Exhibited strong client management skills by effectively communicating and executing a Proof of Concept (POC) usingPredictiveModeling algorithms. Predicted prices based on demand and supply features while actively involving clients in the decision-makingprocess to ensure alignment with their strategic goals. ? Led end-to-end process of data cleaning, merging, and processing, meticulously preparing datasets for in-depthanalysis.Implemented various classification algorithms and achieved an impressive accuracy rate of 80%, ultimately increasing revenueby7%.? Designed a comprehensive data quality pipeline that includes correlation analysis, data completeness, correctness validation, outlierdetection and data drift monitoring, Additionally, created a Power BI dashboard for the client for data analysis and visualizationtoderive actionable insights on the metrics. ? Leveraged Open-AI GPT and Meta Llama to create model embedding and generated similarity scores among the requiredmetadata.This approach facilitated effective classification of faulty mechanics into distinct categories, improving accuracy and effectivenessoffault identification. ? Successfully Ported an existing modeling pipeline to PySpark, enabling handling big data. This transition incorporated a full suiteofclassification and regression algorithm enhancing data processing efficiency and scalability.--
Senior Data Scientist 08/2021 - 03/2023
FoundIt, Bangalore, Karnataka India
Industry: IT
Implemented and fine-tuned Logistic Regression, SVM, and KNN to develop a lead scoring system, enhancing sales performance. Leveraged various classification algorithms, including Random Forest and Naive Bayes, to classify companies into industry categories, achieving strong model performance. Recommended and researched Collaborative Filtering techniques to optimize job recommendations. Collaborated with the search team to improve search functionality, deploying a microservice to enhance keyword relevancy and increase search activity.
Implemented Logistic Regression, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN), algorithms to developaleadscoring system based on the probability of conversion from sales data resulting in an 8% increase in sales. ? Worked on classifying companies into multiple industry classes by leveraging Logistic Regression, RandomForest, SVM, andNaiveBayes algorithms. Developed two layer classification models to handle varying class sample sizes, achieving a weightedaverageF1-score of 0.81. ? Researched and recommended the use of Collaborative Filtering algorithms, including Bi-Variational Auto-encoders andBayesianPersonalized Ranking, to enhance job recommendations built on user Click Through Rates (CTR) and job viewstatistics optimizinguser engagement and satisfaction. ? Collaborated with search team to improve search functionality by implementing algorithms to determine synonyms for searchkeywords. Developed and Exposed the endpoint using Flask and Fast-API, and deployed the micro-service using docker withthehelpof the Development Operations team. This resulted in a significant improvement in search relevancy and number of searches increasedby 23%--

Education:

Bangalore University 08/2015 - 07/2019
Bangalore, Karnataka, India
Degree: Bachelor's Degree
Major:Civil Engineering
Bachelor of Engineering in Civil Engineering


Indian Institute of Science 08/2019 - 07/2021
Bangalore, Karnataka, India
Degree: Master's Degree
Major:Analytics
Specialization in Data Science and analytics

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  • Phone: xxx-xxx-xxxx
  • Email:xxx@xxxx.xxx
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