Kiruba Sahari N
Bangalore
Summary
Motivated Data Scientist experienced working with large datasets, breaking down information and applying interpretations to complex business concerns. Proficient in predictive modeling, forecasting and break-point analysis. Bringing 2 year of related experience and 3+ years of experience in the research environment at various highly reputed Organizations and have been successful in conducting notable independent research in Deep Learning and Pattern Recognition and eager to advance knowledge through forward-thinking investigation.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Data Scientist
Neewee Analytics
Bangalore
02.2022 - 02.2024
- Developed predictive models using machine learning and statistical analysis methods using tensorflow and sklearn.
- Developed a forecasting tool for a manufacturing based industry using python.
- Acted as a key contributor and PoC (Point of Contact) in a project, ensuring diverse perspectives were incorporated into decision-making processes.
- As a PoC, I compiled comprehensive information regarding the manufacturing environment, fostering a deeper comprehension of the business through consistent client meetings and effectively coordinating internal team members to ensure timely delivery.
- Provided valuable insights and recommendations based on my unique perspective and experiences, enhancing the project's effectiveness in reaching diverse audiences.
- As a PoC, my duties expanded beyond client communication and analysis to include data collection, preprocessing, modeling, inferential analysis, as well as product development and deployment. Moreover, I collaborated with various teams to ensure the timely completion of the project.
- As a PoC, I exclusively operated within the virtual environment to uphold confidentiality and adhere to the terms of the NDA.
- Created graphs and charts detailing data analysis results using Plotly and PowerBi.
- R and D on pattern matching algorithm to work on timeseries data.
- Designed models, algorithms and visualizations to distill insights from huge volumes of data using python. Applied feature selection, feature reduction and exploratory analysis techniques to manage large amounts of data using sklearn and Py_FS.
- Used statistical software to analyze and process large timeseries data sets.
- Employed mathematical methods to address intricate issues and crafted quantitative models during the process of digital twinning.
- Worked alongside team members and leaders to identify analytical requirements and collect information to meet customer and project demands.
- Have actively been part of recruiting process.
- Trained Graduate Trainees on Data Science.
Research Scholar
NIT Tiruchirapalli
05.2021 - 02.2022
- Completed course work with 9.25 CGPA.
- Evaluated and supervised student activities and performance levels to provide reports on academic progress.
Research Associate and Assistant Professor
Parul University
Vadodara
09.2020 - 04.2021
- Completed exhaustive research on different deep learning algorithms for classification of
both statistical and image medical data. - Conducted research on various bio-inspired algorithm with the proposal of novel fitness
function for selecting optimal features from medical images. - Utilized various feature extraction algorithms to create large feature set from medical
images. - Guided students for their final year projects on Machine Learning.
- Collaborated with colleagues on curriculum revision, evaluation of course syllabus and
lesson plans for computer science curriculum. - Lead the departmental Entrepreneurship development committee and handled classroom administration.
- Coordinated the international students through international relations cell.
Education
M.Tech - Computer Science and Engineering
NIT Goa
Goa08.2020
BE - Computer Science And Engineering
University College of Engineering - BIT Campus
Trichy05.2018
Skills
- Deep Learning
- Machine Learning
- Image Processing
- Big Data Analytics
- Pattern Recognition
- NLP (Basics)
- MATLAB
- Python
- R Studio
- Hadoop
- MS Office
- Latex
- SQL, Postgresql
- Jenkins
- Docker
- Apache Airflow
- Time-Series data
- Forecasting
- Predictive Maintenance
- Apache Nifi
- Git
- PowerBi
- Pycharm
- Jupyter Notebook
- Business Data Management
- GCP
- Data Visualization
- Optimization
- Data Preprocessing
- Data Modelling
- Data Wrangling
- Scikit-Learn
- TensorFlow
- Plotly
- Quantitative Analysis
- Inferential Statistics
- Inventory Projection
- Statistical Modelling
- Regression
- Model Selection
- Postman API
- FastAPI
- NoSQL
- Citrix VDI
Certification
- Deep Learning from NPTEL
- Machine Learning A-Z: AI, Python & R from Udemy
- Oracle Database 12c: SQL Fundamentals
- Process Capability Analysis from Udemy
- Learn Git by Doing: A step-by-step guide to version control from Udemy
- Core Java with J2EE from FITA
- Big data - Hadoop development from FITA
Projects
Classification of Mammogram using Deep Neural Network with Binary Bat Algorithm for optimization.
- To classify mammograms using DNN by extracting the features using 4 different feature extraction algorithms & selecting optimal features using BBA.
Classification of Medical Datasets using Stacked Autoencoders.
- To classify different numerical medical datasets from UCI Machine Learning Repository using Stacked Autoencoders.
Classification of Covid-19 CXR using Moth Flame Optimization and Online Sequential Extreme Learning Machine with a Novel Fitness Function.
- To classify the Covid-19 chest x-ray by obtaining optimal features from MFO and to classify using OSELM classifier.
Affiliations
- Supervised two teams of 4 students for the best project title of the year.
- Achieved promoting startup ideas through effectively helping with Entrepreneurship development cell.
- Actively participated in workshops and webinars.
- Coordinated and organized cultural fest.
- Actively participated in blood donation camps.
Timeline
Data Scientist
Neewee Analytics
02.2022 - 02.2024
Research Scholar
NIT Tiruchirapalli
05.2021 - 02.2022
Research Associate and Assistant Professor
Parul University
09.2020 - 04.2021
M.Tech - Computer Science and Engineering
NIT Goa
BE - Computer Science And Engineering
University College of Engineering - BIT Campus
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