Kushal Patil Email and Phone Number
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Experienced Data Scientist and Analyst specializing in leveraging data-driven insights to drive business outcomes. With a strong background in data engineering and business intelligence development, I have a proven track record of delivering impactful solutions across various industries.During my tenure at McKinsey & Company, I developed an engagement analysis algorithm for Slack data, resulting in automated responses using bots and identification of consumer pain points. I also introduced critical incident statistics analysis, leading to the development of new KPIs and strategies, reducing the operations team's workload by 67%.At Markytics, I engineered a successful recommendation system for the financial industry, increasing customer retention by 8.2%. I also Developed a web platform for a bank enabling paperless loan sanctioning and reducing bad credit occurrences by 17%.Moreover, I Created data-driven business intelligence dashboards for an agri-tech enterprise, boosting efficiency by 13% in target definition, sales monitoring, and machinery performance optimization. Orchestrated the creation of a data extraction tool, reducing process runtime by 24 hours for a healthcare organization.As a Data Science Intern, I conceptualized a shareholder engagement newsletter and established a data pipeline using Azure services.I also developed an audio transcription and text translation platform, improving participation by 70% and comprehension by 50% for students with limited English proficiency.My technical skills include:• Coding Languages - Python (Pandas, PySpark, NumPy, SK-Learn, Matplotlib, Seaborn, OpenCV, TensorFlow, Django, NLTK, Spacy), R (Stats, Dplyr, Tidyr, Ggplot2), Java (Spring Boot, Hibernate, Hadoop), CSS (Bootstrap), HTML, JavaScript.• Cloud Services - AWS (Glue, QuickSight, Athena, EC2, RDS, Aurora, Lambda, Sagemaker, S3), GCP (BigQuery, Data Studio, AutoML, Video AI, Text-to-speech, Vision, API gateway, Compute Engine, Cloud SQL), Azure (Virtual Machines, Redis Cache, Databricks, HDInsight), Snowflake, Hue, Hive, DBT, Elasticsearch, Kibana.• Data Systems and BI Tools - SQL (Postgres, MSSQL, MySQL, Presto), NoSQL (Neo4j, MongoDB), MS Power BI, Tableau, Heap, Domo, Qlik, Looker, Superset, MS Excel, Weka, Stata. I am now seeking new opportunities as a Data Scientist, Data Engineer, Data Analyst, or BI Analyst/Developer, where I can apply my expertise in data-driven decision-making and problem-solving to drive organizational growth. Let's connect and discuss how I can contribute to your team's success.
Alixpartners
View- Website:
- alixpartners.com
- Employees:
- 3851
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Strategic Finance Senior Analyst - Data AnalyticsAlixpartnersBoston, Ma, Us
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Data ScientistCvs Health Jul 2024 - PresentWoonsocket, Ri, Us -
Strategic Finance Senior Analyst - Data AnalyticsAlixpartners Jul 2023 - Jun 2024New York, Ny, Us
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Data Science Co-Op (Product Analyst)Mckinsey & Company Jul 2022 - Dec 2022Us• Devised and executed engagement analysis algorithm based on topic modeling for Slack data using Python, resulting in implementation of automated bot responses, and identification of 65 consumer pain points across 38 emerging themes.• Introduced analysis of critical incident statistics leveraging Snowflake and DBT for data warehousing, and Heap and Domo for dashboard development, aiding creation of new KPIs and strategies that reduced the operations team workload by 67%.• Developed operational dashboards in Tableau and Power BI to track and report major service outages, resulting in a 21% reduction in resolution time for frequently occurring incidents, thereby facilitating effective supervision by stakeholders. -
Data ScientistMarkytics Jan 2020 - Jul 2021Dubai, Difc, Ae• Spearheaded creation of data-driven business intelligence dashboards in AWS Quicksight for an agri-tech enterprise, resulting in 13% efficiency boost while defining monthly targets, monitoring sales, and optimizing machinery performance. Employed AWS EC2 for compute resources, AWS Glue for ETL jobs, and AWS AthenaDB for ad-hoc query analysis.• Conceptualized, designed, and generated a weekly newsletter including market analysis, industry insights, and company updates, to enhance shareholder engagement and facilitate performance transparency. Established a data pipeline consisting of Azure VM for hosting, Azure Containers for CI/CD pipeline, and Azure Redis Cache for caching.• Engineered successful execution of a recommendation system for a bank, resulting in an 8.2% uplift in customer retention using PySpark for big data processing and model building on Databricks and Azure ML for deploying ML models.• Orchestrated creation of a data extraction tool utilizing AWS S3 for data storage, image processing and detection based on Faster R-CNN using Inception ResNet in OpenCV and Tensorflow, and OCR extraction techniques on Tesseract OCR on AWS Lambda, resulting in a 24-hour reduction in process runtime for Indian government document verification. • Created a centralized repository using Azure HDInsight for big data processing and anomaly detection platform based on autoencoder-based model in Azure Databricks leveraging sensor readings data manipulated using PySpark and visualized using Bokeh, from an aseptic packaging material factory, resulting in a 17% reduction in delivery damages. -
Data Science InternMarkytics Jun 2019 - Dec 2019Dubai, Difc, Ae• Developed a web platform for a bank utilizing Python and Django, allowing for paperless loan sanctioning, and incorporating a loan default prediction model. Utilized GCP's AutoML and BigQuery to train the model and store data, respectively. The model successfully identified high-risk customers with 92% precision, resulting in a 17% reduction in bad credit occurrences.• Created audio transcription and text translation platform for an ed-tech institution using GCP's Video AI and Text-to-Speech achieving 70% rise in participation and 50% improvement in comprehension among students with limited English proficiency. • Utilized GCP's Vision and API Gateway to design an image recognition and processing system for a manufacturing company, resulting in 22% reduction in product defects by detecting faulty items early in the production process.
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InternJio Jun 2017 - Jul 2017Navi Mumbai, Maharashtra, InNetwork security administration and resolving issues using CLMS, ZEEL, RAMS, PIM.
Kushal Patil Education Details
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Northeastern UniversityData Science -
Ramrao Adik Institute Of TechnologyComputer Science
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J H Ambani School, LodhivaliScience
Frequently Asked Questions about Kushal Patil
What company does Kushal Patil work for?
Kushal Patil works for Alixpartners
What is Kushal Patil's role at the current company?
Kushal Patil's current role is Strategic Finance Senior Analyst - Data Analytics.
What is Kushal Patil's email address?
Kushal Patil's email address is ku****@****sey.com
What schools did Kushal Patil attend?
Kushal Patil attended Northeastern University, Ramrao Adik Institute Of Technology, J H Ambani School, Lodhivali.
Who are Kushal Patil's colleagues?
Kushal Patil's colleagues are Young Hu, Patrizia Martellaro, Landon Baty, Maxx Paez, Cpa, Anna Antonacci, Jeffrey Goldstein, Zachary Hyso.
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