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Nikesh Thorat

Data Science Analyst

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About Me

🔬 Experienced and results-driven data scientist with a diverse skill set and a background in Python, Excel, PowerBI, Tableau administration, and SQL. With a strong foundation in these technologies, I successfully transitioned into a data scientist role, leveraging my expertise to drive impactful insights and support effective decision-making. 💪💡

🔍 In my previous role as a team lead, I frequently engaged with data to uncover valuable insights for making informed decisions. I have hands-on experience manipulating and analyzing data using Python, harnessing its power to extract meaningful patterns and trends. Additionally, my proficiency in Excel allowed me to efficiently process and transform data, while my expertise in PowerBI and Tableau enabled me to create compelling visualizations to communicate complex information. 📊🔎

🚀 As a data scientist, I bring a unique perspective to the table, combining my experience as a team lead with my technical skills in data analysis and visualization. I possess a strong aptitude for transforming raw data into actionable insights that drive business growth and improve decision-making processes. 💡📈 🌟 Proficient in statistical analysis, machine learning, and data manipulation, I have implemented various algorithms to solve real-world problems. I am adept at utilizing SQL to extract and analyze data from relational databases, enabling me to uncover hidden patterns and derive actionable insights. 📉📚

💼 With a keen eye for detail and a solution-oriented mindset, I thrive in collaborative environments, working closely with cross-functional teams to identify business needs and develop data-driven solutions. My ability to effectively communicate complex findings enables me to convey insights to both technical and non-technical stakeholders, facilitating informed decision-making at all levels of the organization. 🌐📊

✨ If you are seeking a dynamic and experienced data scientist who can leverage their diverse skill set to extract valuable insights from complex datasets, I would welcome the opportunity to contribute to your team’s success. Let’s connect and discuss how I can drive impactful outcomes as a data scientist within your organization.

Experience

Forage

British Airways - Data Science Virtual Intern

  • Analyzed 3500+ customer reviews to develop a predictive model using Python and Random Forest algorithm, achieving 85% accuracy in predicting successful bookings.
  • Identified key features driving higher sales through data analysis, resulting in actionable insights presented to higher management.

Forage

KPMG AU - Data Analyst Virtual Intern

  • Conducted data quality assessments, ensuring 100% completeness and accuracy for precise analysis, resulting in improved data integrity.
  • Leveraged customer attributes to identify trends, targeting high-value customers and increasing conversion rate by 15%.

Pantech ProLabs India Pvt Ltd (Pantech Solutions)

Data Analyst Intern

  • Utilized Python for data manipulation, SQL for database querying, and Excel for data analysis and visualization.
  • Developed proficiency in statistical analysis using Pandas, NumPy, Matplotlib, and Seaborn to derive valuable insights from complex datasets.
  • Explored interactive data visualization with PowerBI and Tableau, creating compelling visual representations for effective storytelling.
  • Acquired knowledge in MongoDB, a popular NoSQL database, and gained skills in machine learning techniques.
  • Emphasized personal growth and mindset development through daily tasks, fostering a growth mindset and professional development.

Tata Consultancy Services

Middleware Admin (Tower Lead) (PacificLife)

  • Developed automated script removing inactive Jira users (>9 months), saving 20 hours/quarter and $90k/year. Saved $250k by transitioning app monitoring to a cost-effective ManageEngine tool from AppDynamics.
  • Maintained 99.9% system availability through proactive monitoring and troubleshooting for uninterrupted application performance.
  • Proposed merging and cross-training deployment teams, reducing dependency and saving 50 hours/month, resulting in increased productivity and improved customer loyalty.
  • Automated manual tasks, reducing 30 hours/month of effort. Collaborated with the DevOps team to implement automated deployment pipelines and software updates, improving operational efficiency and streamlining processes.
  • Improved incident response time by 50% through automated escalation workflows, reducing mean time to resolution.
  • Monitored server status and usage using data/IT analysis tools, proactively scaling resources and making collaborative decommissioning decisions, resulting in $50K/year cost savings for customers.

Tata Consultancy Services

NOC Engineer (Price Waterhouse Cooper)

  • Implemented proactive monitoring strategies utilizing advanced analytics and machine learning algorithms-based tools to detect anomalies and predict network issues, resulting in a 20% reduction in network downtime and a 15% improvement in incident response time.
  • Collaborated with security teams to swiftly identify and respond to security incidents, ensuring the integrity and confidentiality of network resources and reducing the average time to resolve security incidents by 30%.
  • Validated incident response plans and enhanced incident handling capabilities through tabletop exercises and simulations, resulting in a 25% increase in the efficiency of critical incident resolution and a 40% decrease in incident impact on business operations.
  • Contributed to network automation and orchestration initiatives, leveraging PowerShell and Python scripting to streamline routine tasks, leading to a 50% reduction in manual effort and a 60% increase in task completion speed.
  • Conducted regular network performance assessments and optimization exercises, working closely with vendors and service providers to fine-tune network configurations, resulting in a 15% improvement in network throughput and a 20% reduction in network latency.

Education

Savitribai Phule Pune University

June 2013 - April 2016

Bachelor of Science in Computer Science

Projects

KPMG AU Data Analytics Virtual Internship

KPMG AU Data Analytics virtual internship! This virtual internship provides an opportunity to gain practical experience in data analysis and insights. The internship consists of three exciting tasks that focus on data quality assessment, data insights, and data insights and presentation.

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British Airways - Data Science Virtual Internship

This internship consists of two separate tasks: data scraping and analysis. The goal is to collect and analyze review data from the web, specifically focusing on reviews about British Airways. In the first task, data will be scraped from the Skytrax website, cleaned, and analyzed using various techniques such as topic modeling, sentiment analysis, and word clouds. The second task involves exploring a dataset, preparing it for a predictive model, training a machine learning model to predict customer bookings, and evaluating its performance.

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Analysing Employee Performance for HR Analytics Using Python and MySQL

This Project focuses on analyzing employee performance for HR analytics. The task at hand is to analyze employee performance data for HR analytics. The dataset contains information about employees such as age, department, gender, training scores, length of service, awards received, recruitment channel, education level, etc. The goal is to extract meaningful insights and answer various problem statements related to employee performance and HR analytics.

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Analyzing Insights for Environmental Monitoring and Analysis

The task of this project is to analyze environmental data for monitoring and analysis purposes. The objective is to gain insights from the dataset and provide meaningful interpretations. The project involves data preprocessing, SQL querying, and solving specific problem statements related to environmental monitoring.

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Exploring India's COVID-19 Journey: A Case Study Analysis

This project focuses on analyzing India's COVID-19 journey using real-world datasets. The goal is to clean and preprocess the datasets, analyze the data using Python and MySQL, and derive valuable insights.

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Instagram User Behaviour Analysis Using Python and MySQL

The task of this project is to analyze the user behavior dataset from Instagram and gain valuable insights. It involves cleaning and preprocessing the data to improve its quality and usability. By utilizing SQL queries, the project aims to address specific problem statements related to user behavior on the platform.

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Skills

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