Siddharth Rawat Email & Phone Number
@citi.com
LinkedIn matched
Who is Siddharth Rawat? Overview
A concise factual answer block for searchers comparing this professional profile.
Siddharth Rawat is listed as Lead Data Analyst - Quantitative Risk at Citi® at Citi, a with 196387 employees, based in Tampa, Florida, United States. AeroLeads shows a work email signal at citi.com and a matched LinkedIn profile for Siddharth Rawat.
Siddharth Rawat previously worked as Lead Data Analyst - Quantitative Risk (VP) at Citi and Senior Data Analyst - Quantitative Risk (AVP) at Citi. Siddharth Rawat holds Master Of Science - Ms, Business Analytics And Information Systems from University Of South Florida.
Email format at Citi
This section adds company-level context without repeating Siddharth Rawat's masked contact details.
AeroLeads found 1 current-domain work email signal for Siddharth Rawat. Compare company email patterns before reaching out.
About Siddharth Rawat
Well-rounded Data professional with 10 years of experience and a strong foundation in Business Analysis, Data Engineering, Data Science, and product management.On a personal level, I am detail-oriented, organized, and precise in my work. I have strong communication skills and a knack for clear and illuminating presentations. With the industries moving towards being data-driven, my current focus is on data analytics, big data, and machine Learning in Python to develop dynamic solutions for clients.Specialties:- Statistics - Green Belt certified Six Sigma expert- Data Analysis using R, Python, and Excel- Data Visualization - Tableau Certified Desktop Specialist - Tableau Profile- AWS Certified Solution Architect- Project Management (CSM, Prince2 Certified Practitioner)Skill-set - Languages: SQL, Python (Pandas, NumPy, Regex, SciPy, Scikit-learn), R, PL/SQL,- Big Data: Hive, Hadoop, MapReduce, Spark, PySpark, AWS (S3, EC2, EMR),- Databases: Oracle, MySQL, Sybase, PostgreSQL, DB2, Cassandra, Microsoft SQL Server, ETL- Machine Learning: Linear & Logistic Regression, Classification, Clustering, Hypothesis testing- Data Visualization: Tableau, R (ggplot2, Shiny), SAS GChart, Matplotlib, Excel (Pivot Table, V-Lookup)- Other Tools: RStudio, SAS Enterprise Miner, Weka, Informatica, Putty, SQL Developer
Listed skills include Marketing Communications, Business Analysis, Crm, Management, and 19 others.
Siddharth Rawat's current company
Company context helps verify the profile and gives searchers a useful next step.
Siddharth Rawat work experience
A career timeline built from the work history available for this profile.
Lead Data Analyst - Quantitative Risk (Vp)
Current•Establishing near real-time data ingestion and processing pipeline to provide clean, complete data and augment the modeling framework•Creating and optimizing data pipelines for analytics and predictive modeling in Python for scalable ingestion and pre-processing of noisy data from heterogeneous sources like Bloomberg •Defining and monitoring KRIs for peer analysis, and trends, and assisting in developing management reporting. •Providing an independent opinion and assessment of any future funding needs using tools such as liquidity buffer sizing, liquidity stress testing (LST), and other regulatory metrics such as LCR and NSFR•Compliance with Model Risk and Vetting requirements by conducting necessary tests, packaging implementation summary tests, and results•Identify, define, design, and implement the required changes to achieve regulatory compliance as well as critical business capabilities and benefits in regulatory capital, economic capital, stress testing, IFRS9, and the use of underlying data integration required to support these risk processes.
Senior Data Analyst - Quantitative Risk (Avp)
- Conducting statistical analysis and data cleansing on large databases through sophisticated econometric software coding- Aggregating clean datasets from multiple sources to provide a comprehensive assessment using SQL/Python- Creating analytical dashboards with Tableau, to share model results, forecasts credit risk trends, and variances from expectations- Using Predictive modeling methods, optimizing monitoring systems, document optimization solutions, and presenting results - Drafting model documentation using statistical vocabulary and validation reports which focus on the following model types: Retail (e.g., mortgages, credit cards, auto loans), wholesale risk & credit risk models, based on PD/LGD/EAD models
Graduate Teaching Assistant
- Worked as a teaching assistant for Business Application Development in C# using object-oriented programming concepts at the department of Information Systems and Decision Sciences- Mentored undergrad students in Business Application Development in C# and Data Analytics in Python- Guided the students in their respective projects and prepare prior research work
Technical Data Specialist
- Provided recommendations and predictive analysis to the higher management on improving strategies using Tableau & Einstein Analytics- Developed Salesforce console configuration, workflows with validation rules, process builder(ETL pipelines), visual flow, security & role hierarchy settings
Product Manager - Data Analytics
- Articulated a clear, consistent, and creative value proposition in data analytics for our target markets, while acting as the linchpin between our Data analytics and product teams- Developed end-to-end data solutions, and worked with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth, and optimization initiative- Analyzed, Designed, and developed Data discovery dashboards in Tableau to present the data story to the business stakeholders.- Created SQL scripts to populate tables in the data warehouse to automate daily reporting across the department
Senior Technical Project Manager
- Built ETLs, pipelines, and automation to ensure we can understand and act on business performance accurately, scalably, with low latency, and minimal manual upkeep- Spearheaded a team to analyze and develop a re-usable process for automating product game demos for the client, saving 40man-hrs per month and reducing run-time by 30%- Developed methodologies to improve the in-game customer experience such as predicting when users are likely to perform certain actions, churn or monetize. Use predictive analytics to predict how users will react to changes in the games
Technical Project Specialist
- Architected and implemented analytics and visualisation components for device data analysis platform to predict hardware- Developed different types of Tableau reports by working on the data model to fit tableau needs and discovering data by tableau to best answer the business questions.
Senior Marketing Analyst
- Curated analytical monthly and quarterly reports using complex marketing databases on ELOQUA, maintained ETL mappings using Informatica and created trend analysis across regions using Google Analytics- Designed and executed internal/external marketing campaigns for lateral sourcing requirements- Prepared and presented detailed analysis, case studies and analytical reports to senior management (including the CEO, CIO & MD)
Marketing Data Analyst
- Worked closely with Marketing, Sales and IT to ensure that the data flows through various processes and systems accurately- Conducted competitive research on the market and analyze benchmarking data- Contributed to the overall reporting metrics for data management dashboards- Managed day to day responsibilities of the Data Steward Team in India- Supported major projects while collaborating with other teams and serving as a subject matter expert on account merges and data processes
Colleagues at Citi
Other employees you can reach at citigroup.com. View company contacts for 196387 employees →
Ram Kalai
Colleague at CitiWashim, India
View →
CV
Christian Valencia
Colleague at CitiFort Lauderdale, Florida, United States
View →
MT
Mansi Thaker
Colleague at CitiMumbai, Maharashtra, India
View →
VG
Vidhi Gosalia
Colleague at CitiPune, Maharashtra, India
View →
NJ
Nessy Joana Antony
Colleague at CitiPenang, Malaysia
View →
MZ
Meriussoni Zai
Colleague at CitiPadang, West Sumatra, Indonesia
View →
MD
Marie Dykas
Colleague at CitiMastic, New York, United States
View →
TN
Thien Nguyen
Colleague at CitiMckinney, Texas, United States
View →
RA
Rizwana Ameer
Colleague at CitiMalahide, Ireland
View →
TT
Ton Tom
Colleague at CitiChina
View →
Siddharth Rawat education
Master Of Science - Ms, Business Analytics And Information Systems
Mba, Information Technology
B.Tech., Computer Science
Education record
Frequently asked questions about Siddharth Rawat
Quick answers generated from the profile data available on this page.
What company does Siddharth Rawat work for?
Siddharth Rawat works for Citi.
What is Siddharth Rawat's role at Citi?
Siddharth Rawat is listed as Lead Data Analyst - Quantitative Risk at Citi® at Citi.
What is Siddharth Rawat's email address?
AeroLeads has found 1 work email signal at @citi.com for Siddharth Rawat at Citi.
Where is Siddharth Rawat based?
Siddharth Rawat is based in Tampa, Florida, United States while working with Citi.
What companies has Siddharth Rawat worked for?
Siddharth Rawat has worked for Citi, University Of South Florida, Ceb, Now Gartner, Ingenuity Gaming, and Dxc Technology.
Who are Siddharth Rawat's colleagues at Citi?
Siddharth Rawat's colleagues at Citi include Ram Kalai, Christian Valencia, Mansi Thaker, Vidhi Gosalia, and Nessy Joana Antony.
How can I contact Siddharth Rawat?
You can use AeroLeads to view verified contact signals for Siddharth Rawat at Citi, including work email, phone, and LinkedIn data when available.
What schools did Siddharth Rawat attend?
Siddharth Rawat holds Master Of Science - Ms, Business Analytics And Information Systems from University Of South Florida.
What skills is Siddharth Rawat known for?
Siddharth Rawat is listed with skills including Marketing Communications, Business Analysis, Crm, Management, Marketing Strategy, Sap Sd, Marketing Research, and Business Development.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial