I am a seasoned Data Scientist/Analyst with a rich experience spanning two years in the field. Over the past year, I have proudly contributed my skills and expertise to the dynamic teams of both Data Science (Personalisation - ML) and Data Engineering at McAfee. My journey has been marked by a relentless pursuit of excellence and a passion for transforming data into meaningful, concrete insights.

My proficiency in SQL, Python, Spark, my ability to figure out a way around blockers on the go, and my decisiveness with sound reasoning has been the cornerstone of my success, enabling me to extract, analyze, and interpret data with precision. My adeptness in these tools has empowered me to spearhead feature engineering projects, playing a pivotal role in enhancing the value of data and optimizing its use for strategic decision-making.

One of my significant accomplishments includes being a key contributor to the establishment of a feature store at McAfee. 
As we all know, from start to end, 70% of time in most Machine Learning projects is spent on finding out correct POCs within the company, communicating with them to acquiring the correct data and also understanding it, predicting probable metrics to be obtained from it, and then performing the pre-processing. 
Developing a feature store involved a lot of Feature Engineering, gaining close familiarity with the raw data, understanding the business and performing a lot of SQL intricacies, not to forget a lot of internal communication. The objective was to cut down on the preprocessing time and provide Data Scientists 
with data they could rapidly build prototypes upon without having to worry about the entire logistics of how it came to be. The nature of this 'pre-processed' data was that it could support a lot of Data Science efforts, since this data captured the essential behavior of our customers. 

This innovative solution has not only streamlined workflows but has also facilitated the acceleration of data-driven innovation within the organization.

Motivated by my unwavering commitment to continuous growth and a thirst for knowledge, I am eager to expand my horizons into the realms of Data Engineering and Data Science. Drawing upon my foundation in analytics and my proficiency in key technologies, I am excited to take on new challenges and leverage my skill set to drive transformative insights and solutions.

In essence, my journey reflects a fusion of experience, technical prowess, and an unrelenting desire to create value from data.

Sidharth Kriplani

Koch Industries

-- Designed and implemented Alteryx driven XML parsing for the Income Tax annual filing package to extract data. Created readable forms via Tableau visualization with estimated savings of > 5,000 hours.
-- Automated audit support documentation using Alteryx and Snowflake tables to reduce 2,000-hour process to minutes.
-- Developed Alteryx reconciliation models, improving productivity and saving 200 hours annually.

Tax Technology Manager - Transformation

AT&T

Financial Technology Leader | Sr Program Manager, Finance | Sr Tax Technology Manager 

AT&T (SBC)

Senior Manager | Lead Financial Systems Analyst

Cingular Wireless

Tax Manager

CPA Firms

Companies included: Joseph C. Kempe, PA (Wealth Management firm), Goldberg Jacobs & Co, LLP (FL – Local CPA firm), J. Randy Hough & Associates, PA (FL – Local CPA firm)

Senior Tax Accountant III | Financial Database Manager

I am deeply passionate about serving as a vital link between finance, technology, and industry professionals, leveraging my extensive expertise in Finance, Accounting, Tax, database architecture, business intelligence, and financial systems transformation. 
My enthusiasm drives me to optimize Accounting and Tax processes, automate repetitive tasks, and eliminate inefficiencies, delivering significant time savings for my team. I take pride in designing clear, impactful visualizations that empower finance professionals to work confidently with their data and calculations. 
Process automation, ways to simplify calculations, or to share my understanding of technology with the team make my day great.
I am committed to lifelong learning and actively pursue advanced certifications to ensure I bring cutting-edge solutions to every partnership, creating meaningful impact and sustained excellence.
✓ Led design and implementation of the State Income Tax tool in cooperation with the 3rd party provider and   the internal IT. The result allowed the elimination of 5,400 work hours and saving of $20,000,000 in potential tax benefits annually.
✓ Researched, designed, and implemented in partnership with the internal IT, the Tax Projection Model expected to provide unprecedented data visibility and potential savings of $30,000,000.
✓ Created blueprint and produced proof of concept of the common database for all of the Tax to simplify data extraction, analysis. and added flexibility for future process improvements. The estimated savings just from the 1st phase of the tool is 4,500 work hours.
✓ Developed financial models for State Apportionment visualizing the process and providing clarity and consistency between the states, resulting in $10,000,000 savings.
✓Created XML parser of the F1120 package to obtain verified filing data – saving of $200K a year.

✓Built Alteryx process of Income Tax Audit specific package – automation saving 2,000 hours a tax season.

My goal is to bring synergy between business and technology.

Let's connect!
Phone: 469.893.0277 
E-mail: vmanincpa@gmail.com

𝐒𝐏𝐄𝐂𝐈𝐀𝐋𝐓𝐈𝐄𝐒
Tax Technology | Program Management | Tax Modeling | Income & Transaction Tax Analytics | Finance Modeling | Data Research | Stakeholders & Providers relationship management | Business Intelligence and Automation | Diagnose and Troubleshoot Tax Tools | Database Management

𝐓𝐄𝐂𝐇𝐍𝐎𝐋𝐎𝐆𝐈𝐄𝐒
Alteryx (ETL), Sigma, Essbase, SQL, PowerBI, Corptax, Oracle/CFAS, OneSource, Python, Excel (Power Query), Tableau, Snowflake, Sigma

taplio

The Battle

Sidharth Kriplani

Valentina Manin, CPA, MST

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