Nikhil Pillai Email & Phone Number
Who is Nikhil Pillai? Overview
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Nikhil Pillai is listed as Data Analyst at Charles Schwab, a with 33019 employees, based in Dallas-Fort Worth Metroplex, United States. AeroLeads shows a matched LinkedIn profile for Nikhil Pillai.
Nikhil Pillai previously worked as Data Analyst at Crowddoing and Data Analyst intern at Kpmg Us.
Email format at Charles Schwab
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About Nikhil Pillai
I believe two forces drive us forward: curiosity about the future and the connections we form with others. Data science taps into both—predicting outcomes and creating insights that connect people, businesses, and opportunities.With a Master’s in Information Systems from Northeastern University, I specialize in data analysis, engineering, and visualization. My journey includes engineering large-scale data systems at Hosta a.i. using AWS and Apache Spark, as well as providing actionable insights as a Data Analyst at Tata Consultancy Services through Python, R, and PowerBI.Formerly an entrepreneur, I’m passionate about collaboration over competition and thrive in environments where technical expertise meets strategic thinking. Whether it’s designing robust data pipelines or translating complexity into clarity, I’m driven by the potential of data to solve business challenges and shape the future.MySQL, MongoDB,Oracle, MS SQL Server,PostgreSQL,Alteryx,T-SQL,Snowflake Python(NumPy, Pandas, Scikit-Learn, Matplotlib),R,HTML,ScalaAWS (IAM ,EC2 , S3, Redshift, Lambda, SQS, SNS, DMS, Glue, Kinesis, Firehose, Elasticsearch, Step Functions, API gateway, Cloudwatch), Azure, GCPTableau, PowerBI, Bigquery, Apache Spark, Hadoop,Databricks ,linux, CI/CD Jupyter notebook, Pyspark, Google Analytics, Kafka, Airflow, DBT, kubernetes
Nikhil Pillai's current company
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Nikhil Pillai work experience
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Data Analyst
CurrentExecuted data collection and cleaning using SQL, Snowflake, and Apache Spark, improving data quality by 15% for demographic, environmental, and public health datasets.• Developed automated dashboards in Power BI and Tableau with advanced DAX queries, reducing report generation time by 30% while tracking KPIs like carbon emissions and poverty rates.• Performed data analysis using Python (Pandas, NumPy) and R (ggplot2, dplyr) to assess program outcomes, resulting in 10% improvement in project success rates.• Built predictive models in Azure Machine Learning and AWS SageMaker to forecast trends using climate change and socioeconomic data, guiding strategic resource allocation
Data Analyst Intern
Performed Multivalued Compression on production objects for space management saving 1 TB of system space weeklyPioneered data extraction, and cleansing to migrate data 25% faster from Oracle to Snowflake using SQL queries, stored procedures, data mover, and TPT scriptsImplemented a scalable Enterprise data warehouse EDW using Talend, and Alteryx ETL to boost the performance by 70% • Formulated data pipeline to load 55M records from APIs and Big Query into SQL Server maintaining high data quality
Graduate Research Assistant
Graduate Teaching Assistant for Course MSIM-6210 Information Visuals and Dashboards for Business • Performed all teaching assistant duties including mentoring, lecturing, researching, and grading• Code reviewed for final projects and conducted online problem-solving sessions virtually
Graduate Teaching Assistant
Graduate Teaching Assistant for MISM-6205 Data Wrangling in Business.• Led group and individual tutoring sessions to support students in their coursework and exam preparation.• Graded projects for students and shared best practices for the topics along with assisting them to solve complex problems.
Business Intelligence Analyst
•Optimized Hadoop queries and data storage in HDFS, improving query performance by 35% and ensuring efficient data retrievalfor analytics•Authored ETL pipelines using Python, SQL, facilitating the integration of raw data from diverse sources into targeted data mart in data warehouse contributing to streamlined data processing and storage•Conducted a comprehensive review of the existing ETL processes and reporting dashboard queries used for supply chain data, and optimized them to reduce CPU/IO usage by 30%
Colleagues at Charles Schwab
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Dante Rossini
Colleague at Charles SchwabOmaha, Nebraska, United States
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Michaela Cliff
Colleague at Charles SchwabAustin, Texas, United States
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Eric W.
Colleague at Charles SchwabDallas-Fort Worth Metroplex, United States
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Destine White
Colleague at Charles SchwabHampton, Virginia, United States
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Mark Ols
Colleague at Charles SchwabAustin, Texas, United States
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Dan Partin
Colleague at Charles SchwabOrlando, Florida, United States
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Steven Hung
Colleague at Charles SchwabLone Tree, Colorado, United States
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Ashok Shah
Colleague at Charles SchwabCharlotte, North Carolina, United States
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Thomas (Ted) Campion
Colleague at Charles SchwabSan Diego, California, United States
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Nathan May
Colleague at Charles SchwabOmaha Metropolitan Area, United States
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Frequently asked questions about Nikhil Pillai
Quick answers generated from the profile data available on this page.
What company does Nikhil Pillai work for?
Nikhil Pillai works for Charles Schwab.
What is Nikhil Pillai's role at Charles Schwab?
Nikhil Pillai is listed as Data Analyst at Charles Schwab.
Where is Nikhil Pillai based?
Nikhil Pillai is based in Dallas-Fort Worth Metroplex, United States while working with Charles Schwab.
What companies has Nikhil Pillai worked for?
Nikhil Pillai has worked for Charles Schwab, Crowddoing, Kpmg Us, Northeastern University, and Winfocus Solutions Pvt Ltd.
Who are Nikhil Pillai's colleagues at Charles Schwab?
Nikhil Pillai's colleagues at Charles Schwab include Dante Rossini, Michaela Cliff, Eric W., Destine White, and Mark Ols.
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