Saket Kumar Email & Phone Number
@citigroup.com
1 phone found area 469
LinkedIn matched
Who is Saket Kumar? Overview
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Saket Kumar is listed as Marquis Who’s who in America Honored | VP Consumer Analytics | Speaker | AI Product Advisor| GenAI | LLM | AI | Digital at Citi, a with 10 employees, based in Dallas, Texas, United States. AeroLeads shows a work email signal at citigroup.com, phone signal with area code 469, and a matched LinkedIn profile for Saket Kumar.
Saket Kumar previously worked as Vice President - Consumer Analytics at Citi and Data Scientist at Arcadis. Saket Kumar holds Master Of Science - Ms, Business Analytics from The University Of Texas At Dallas.
Email format at Citi
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AeroLeads found 1 current-domain work email signal for Saket Kumar. Compare company email patterns before reaching out.
About Saket Kumar
An experienced Data Science & Analytics Professional with 8 years of experience in Analytics domain. A performer driven with good communication skills and strong analytical skills equipped to manage client relationships.I have worked on several BI and statistical modeling projects for major Fortune 500 clients from Aerospace, Energy, Automotive, Environment and Transportation. Skills:Databases: MS SQL, Microsoft SQL Server, PostGresBI Tools: PowerBI, TableauProgramming Language: R, PythonML Algorithms: Linear Regression,Logistic Regression, Lasso & Ridge Regression, Clustering, Decision Trees, Random Forest, SVM, XGBoostDeep Learning Algorithms: RNN, CNN, U-Nets, YOLONLP - Topic Modeling, Regular expressions, NLTK-Python, Text classification, Document SimilarityBig Data: Hadoop, HIVE , Sqoop, PIG, Spark
Listed skills include Requirements Analysis, Business Analysis, Solution Architecture, Sdlc, and 7 others.
Saket Kumar's current company
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Saket Kumar work experience
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Data Scientist
1) Building Digital framework and Solution for Client projects.2) Design data management and governance processes for Business Intelligence solutions using PowerBI, R, Python.3) Analyze, understand, and document the flow of information between applications and database systems for data analytics and reporting4) Data Collection using Web Scraping from public websites, automating huge volume of raw excel/pdf reports5) Creating ETL Pipelines for processing raw data and create integrated BI Solutions
Data Science Intern - Nlp / Machine Learning
Data Mining: Fetching data from various sources or given client’s data using Python, turning raw data into structured data (including pdf, images using Computer vision algorithms, web scrapping), perform data manipulation.Machine Learning: Applying best algorithms (KNN/SVM/Random Forest /Tensorflow/LSTM /CNN /RNN) through Python for the data (Supervised or Unsupervised) to get results using Deep Learning (more than 90% accuracy).NLP: Built NLP Pipeline for document process control using regular expressions, topic modeling (Tf-Idf, lemmatization, stemming, word2Vec), RNN, LSTM for document classification using Python & Tensorflow.Consulting: Working with Client Executives and Managers on their raw data. Built data analytics strategy for major FMCG client providing solutions using Machine learning on MS Azure cloud-based platform.Data-driven Products: Built Digital & Analytics portfolio website, image to text converter python application using flask, geospatial & map-based web applications using HTML, Javascript and integrated open source spatial API’s .
Technology Officer
Bootcamp Instructor
• Conducting sessions for students & recent graduates in R Programming & PowerBI.• Organized classroom discussions, cleared doubts , and presented core concepts of data manipulation and visual analytics.• Support students in their projects and challenges.
Council Member - Business Analytics Leadership Council
Organized boot camp sessions in Data visualization & R programming for incoming students, managing seminars by industrial speakers.
Technical Lead - Data Analytics
Implementing Data Analytics Projects in Co-operation with Business Advisory, Arcadis Consulting,USA.Explored and executed data analytics methodologies across various domains such as Geospatial Information Systems, Environment, Asset & Risk Management and Transportation. Conducted hypothesis testing, regression analysis, predictive modeling along with preparing interactive dashboards to present insights for improved business.Key Projects• Accident rate forecasting by utilizing machine learning model for time series forecasting in MS AZURE. Made ARIMA model for predicting accident rates in Georgia and integrated the model to PowerBI to visualize the insights from accident data. Performed key driver analysis using linear regression to visualize major accident causes and provide optimal solutions accident prevention.• Utilized Python to automate the data mining using various map APIs. Automated the data storage process by integrating python with SQL server. Performed TURF analysis to provide best transportation option during various time brackets of the day.• Prepared interactive dashboard in Tableau for a major US based Gas & Electric Company showing tower conditions and hazardous lead contents and integrate an alarm feature in Tableau to visualize towers in poor condition. Also, integrated ArcGIS map feature to create geo location awareness to improve quality of asset management.• Used correlation, matrix, chi-square testing and ordinal logistic regression for risk management of various infrastructure projects across all Global branches of Arcadis. Used survey data to provide insights about different business units and their level performance like time to market, asset longevity, quality of projects etc. and published White paper on Risk management for the same. • Deploying data visualization projects for various Department of Transportation across US related stormwater planning & management, compliance audits, project management.
Senior Statistical Analyst
Executed high impact projects in Warranty Management systems and data analysis for Fortune 500 Automotive company. Managed client relationship to understand business problem areas, build statistical solutions to optimize warranty claims.- Used Proportional Hazard model in R (Survival Analysis) to estimate the life of various automobile electronic components. - Built logistic regression model to identify major features in the dataset which impacted warranty claims which helped in product re-engineering and reduced claims.- Created interactive reports in Tableau to visualize the warranty claims data on store, region and customer level.
Data Science - Systems Engineer
Managing Microsoft Azure Big Data Analytics Cloud & Business Intelligence services for Fortune 500 Aerospace and Energy client. - Managed MS Azure SQL Data Warehouse to handle computational and data intensive queries on huge datasets exceeding 1TB. - Run massively parallel queries on MS Azure Data Lake. - Used Apache Sqoop to import and export data between Hadoop cluster in Azure HDInsight and Microsoft SQL Server. - Created KPIs and metrics to evaluate engine condition and performance after each cycle using Tableau and Microsoft SQL Server.
Co-Founder & Chairperson
My work includes co-ordinating the activities in the Aeronautical Society. I work as a faculty and organize classes. The mode of lectures is by presentation slides divided in several modules. I am also involved in organizing various workshops & learning sessions by other organizations like Aerotrix, Bengaluru. I work for promoting the education in Aero-modelling & Aeronautical field.
Colleagues at Citi
Other employees you can reach at citibank.com. View company contacts for 10 employees →
Delafruz Irani
Colleague at CitiMumbai, Maharashtra, India
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PJ
Paul James
Colleague at CitiNewark, Delaware, United States
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SB
Shen Barone, Mst
Colleague at CitiRevere, Massachusetts, United States
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TW
Torie Woodard
Colleague at CitiCharlotte Metro, United States
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AP
Akshada Pansare
Colleague at CitiPune, Maharashtra, India
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NJ
Neelesh Jain
Colleague at CitiSyosset, New York, United States
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TG
Tanvi Ghadge
Colleague at CitiPune, Maharashtra, India
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AM
Anirban Maiti (Mba, Psm, Pspo)
Colleague at CitiCincinnati Metropolitan Area, United States
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SR
Sangeetha Ravichandran Phd.,Msl, Mba, Pmp®,6Σ,Crisc,Cpa,Frm,Csm,Cspo,Cism
Colleague at CitiGreater Tampa Bay Area, United States
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MV
M Vijay Sai Rao
Colleague at CitiIndore, Madhya Pradesh, India
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Saket Kumar education
Master Of Science - Ms, Business Analytics
Bachelor Of Technology (B.Tech.), Mechanical Engineering
Education record
Frequently asked questions about Saket Kumar
Quick answers generated from the profile data available on this page.
What company does Saket Kumar work for?
Saket Kumar works for Citi.
What is Saket Kumar's role at Citi?
Saket Kumar is listed as Marquis Who’s who in America Honored | VP Consumer Analytics | Speaker | AI Product Advisor| GenAI | LLM | AI | Digital at Citi.
What is Saket Kumar's email address?
AeroLeads has found 1 work email signal at @citigroup.com for Saket Kumar at Citi.
What is Saket Kumar's phone number?
AeroLeads has found 1 phone signal(s) with area code 469 for Saket Kumar at Citi.
Where is Saket Kumar based?
Saket Kumar is based in Dallas, Texas, United States while working with Citi.
What companies has Saket Kumar worked for?
Saket Kumar has worked for Citi, Arcadis, Envisionutd, The University Of Texas At Dallas, and Tata Consultancy Services.
Who are Saket Kumar's colleagues at Citi?
Saket Kumar's colleagues at Citi include Delafruz Irani, Paul James, Shen Barone, Mst, Torie Woodard, and Akshada Pansare.
How can I contact Saket Kumar?
You can use AeroLeads to view verified contact signals for Saket Kumar at Citi, including work email, phone, and LinkedIn data when available.
What schools did Saket Kumar attend?
Saket Kumar holds Master Of Science - Ms, Business Analytics from The University Of Texas At Dallas.
What skills is Saket Kumar known for?
Saket Kumar is listed with skills including Requirements Analysis, Business Analysis, Solution Architecture, Sdlc, Software Project Management, It Strategy, Project Management, and Pl/Sql.
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