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

Deloitte

● Identified client requirements working with stakeholders and developed analytics solutions for 3
multinational companies.
● Optimized SQL based data extractors which reduced the number of objects required in half, saving
development time and decreased costs for the client.
● Collaborated with different teams across time zones to provide the best possible solution for the
client.
● Performed root cause analysis using SQL and Excel to determine report errors and find outliers.
● Conducted thorough ad-hoc data analysis using Excel to test and validate database views.
● Performed in-depth analysis of objects and investigated report functionality using complex SQL queries.

Analyst

Offering: Enterprise Performance  
Portfolio: SAP
● Accurately modeled data and created 10+ database views which were utilized in reports and analytics/BI tools, each managing large datasets with millions of records.
● Assisted in project management activities by effectively managing 60+ stories using Jira over a 9-month period.
● Significantly simplified the documentation process by utilizing Excel macros, resulting in a reduction of 80% of the effort required for documentation.
● Assisted in the delivery of over 100+ SAP objects to production by effectively owning the change management process using SAP Solution Manager.

Associate Analyst

Entrepreneurship & Innovation Cell of Usha Pravin Gandhi College

Team Management and Event Coordination Experience

Recruited and supervised a team of 7 individuals for event production, logistics, and IT-related tasks.
Mentored team members, leading 2 of them to leadership positions in the successive term.
Supervised the effective execution of 4 events over the period of one year.
Led the event management activities and provided support to other teams in the committee.
Demonstrated strong leadership skills and the ability to effectively manage and coordinate multiple tasks and team members in a fast-paced event environment.

Head of Department

Early career IT professional with a passion for analytics, operations, automation and building great client relationships. 

I began my professional journey at Deloitte as a campus recruit where I was a part of the SAP Consulting team. I specialized in the SAP Analytics space. 
My role involved helping clients implement their analytics and reporting requirements on SAP systems, which included tasks such as data modeling, creating database views, data migration and data analysis using Excel, SQL and HANA DB. 

I have a knack for automation, so I regularly use Power Query and Excel macros to automate the boring stuff.

In addition to my work experience, I have a keen interest in product analytics, product development, product operations.

Currently learning how products are built at Upraised and on the lookout for opportunities in SaaS companies.

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Sidharth Kriplani

Lokesh Jain

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