Summary
Overview
Work History
Education
Skills
Websites
Certification
Accomplishments
Timeline
Generic
Sirikonda Satish

Sirikonda Satish

Hyderabad

Summary

To enhance operational efficiency and reduce manual efforts in two critical aerospace projects within the 'AeroOps Automation Suite': iTRACE Input Automation for Honeywell and Auto Scoring in Mech & Avionics LRU. The objective is to implement intelligent automation solutions that streamline processes, ensure accuracy, and generate valuable insights for decision-making.

Experienced techno-functional professional with over 6 years in diverse projects and technology stacks, specializing in data science with a master's degree in statistics. Proficient in data modeling, analysis, machine learning model development, and deployment on both on-premises and cloud platforms (AWS and Azure). Experienced in Python, Statistics, SQL, R, SPSS. Good experience in Data Engineering and Data science Domain. Good working knowledge on Machine Learning – Decision Trees, Random Forests, Predictive modelling, Logistic Regression SVM, Bagging, and Boosting. Specialized in Gen-AI applications, contributing to natural language generation and computer vision projects Experience Azure open AI, model gpt3.5 Good Knowledge on other Cloud native services. Experience in Dashboard preparation using Power BI and Tableau.

Overview

9
9
years of professional experience
1
1
Certification

Work History

Data Scientist

CYIENT LTD
07.2021 - Current
  • Developed an algorithm for classifying 6 key attributes in the Auto Scoring project, based on historical records and discrepancies between customer and shop findings
  • Designed a reporting system that generates API/output in JSON format, streamlining the reporting process and providing structured outputs
  • Designed and developed an automation solution capable of handling 20 different operator files with varying formats, including PDFs and Excel
  • Created algorithms for efficient text extraction from source documents, with a focus on extracting critical attributes such as Part Number, Aircraft type, and Engine Type
  • Conducted training sessions and facilitated the handover of both automated solutions to ensure seamless integration into existing workflows

Data Scientist

Phillips
11.2021 - 10.2023
  • Developed an AI/ML solution for sentiment analysis tailored to a diverse range of Philips products
  • Implemented product-specific sentiment analysis models for accurate insights
  • Utilized web scraping for data acquisition and Python for data cleaning
  • Integrated SQL for efficient data storage and retrieval
  • Created visualizations and reports to represent sentiment trends for each product
  • Contributed to enhanced decision-making by providing targeted product insights

Data Analyst

Sailotech
12.2016 - 06.2021
  • Building a Random Forest model to predict the potential customers
  • Using cluster analysis for customer segmentation
  • Bucketing the customers to understand them more concrete way in terms of risk factor
  • Detect anomalies in the warranty data to avoid fraud claims which are causing high cost to the customer
  • Finding driving factors for fraudulent claims
  • Building one class SVM to identify anomalies
  • Developed RFM model to divide customers into different segments for analysis
  • Derived most relevant classes from 64 RFM segments from the model
  • Derived insights on most attentive segments to take appropriate actions and deployed the model and pipelined the output in tableau for sales & marketing team

Intern

Nuevora Analytics
03.2016 - 05.2016
  • Identifying right set of customer segment to be targeted for Retail Mailer Campaigns based on RFM Analysis (Recency, Frequency, and Monetary Value)
  • Evaluating campaign effectiveness and generating performance report by key metrics like Response Rate, Incremental Sales, Incremental Margin, and Incremental ROI
  • Generating Lift Report for the monthly campaigns to assess campaign effectiveness

Education

MSc - Statistics

Osmania University Collage

BSc - Mathematics & Statistics

Kakatiya University

Skills

  • Statistics
  • Machine Learning
  • GenAI
  • Forecasting
  • Text Analytics
  • Deep Learning Techniques
  • Python
  • R
  • Tableau

Websites

Certification

Bepec, Data Science

Accomplishments

Received pat on the back award twice for exceptional performance.

Timeline

Data Scientist

Phillips
11.2021 - 10.2023

Data Scientist

CYIENT LTD
07.2021 - Current

Data Analyst

Sailotech
12.2016 - 06.2021

Intern

Nuevora Analytics
03.2016 - 05.2016

MSc - Statistics

Osmania University Collage

BSc - Mathematics & Statistics

Kakatiya University

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Sirikonda Satish