Kashika P H
Prosper,USA
Summary
Data Analyst with proven experience at Government Polytechnic College, skilled in SQL and data visualization. Expertise in data mining techniques led to actionable insights that improved decision-making processes. Strong collaboration with cross-functional teams ensured data integrity and quality, resulting in impactful visual reports for stakeholders.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Data Analyst
Government Polytechnic College
Kalaburagi
10.2017 - 06.2019
- Applied data mining techniques to discover hidden patterns, correlations, and insights.
- Used tools like SQL, Python, or R to query and extract data from databases.
- Designed and created visualizations that effectively communicated data insights to non-technical stakeholders.
- Selected appropriate charts, graphs, and visual elements to convey complex information in a clear and concise manner.
- Ensured data accuracy and integrity by performing quality checks and validated data against defined standards.
- Identified and resolved data quality issues or inconsistencies.
- Collaborated with cross-functional teams, such as business analysts, data scientists, or IT professionals, to support data-driven decision-making and contributed to data-related projects.
- Documented data analysis methodologies, processes, and findings.
- Maintained documentation of data sources, data dictionaries, and data transformation procedures.
Junior Data Analyst
Visvesvaraya Technological University Regional Centre
Kalaburagi
10.2017 - 02.2018
- Gathered and collected data from various sources, such as databases, spreadsheets, or APIs.
- Cleaning, validating, and transforming the data to ensure its quality and integrity.
- Performed exploratory data analysis to identify trends, patterns, and insights.
- Creating reports, dashboards, and visualizations to present data findings effectively.
- Used tools like Excel, Tableau and Power BI to generate visual representations of data and communicate insights to stakeholders.
- Cleaning and preprocessing the data by handling missing values, outliers, and inconsistencies.
- Applied techniques such as data imputation, normalization, and feature scaling to prepare data for analysis.
- Conducted statistical analysis using techniques like regression, hypothesis testing, and clustering.
- Applied descriptive and inferential statistics to draw meaningful conclusions from data.
- Assisted in developing and implementing data models to support business objectives.
- Collaborated with data scientists or senior analysts to build predictive or machine learning models.
Education
PhD - Image Processing
Visvesvaraya Technological University
Belagavi, Karnataka07.2023
Master of Technology - Computer Science
PDA College of Engineering
Kalaburagi, Karnataka, India12.2016
Bachelor of Engineering - Computer science
PDA College of Engineering
Kalaburagi, Karnataka, India12.2014
Skills
- SQL and SQL Server Reporting Services
- HTML and CSS
- MATLAB programming
- Python development
- R programming
- Data warehousing and modeling
- Machine learning techniques
- Survey data analysis
- Data mining
- Data visualization
- Technical analysis
- Data utilization
https://www.linkedin.com/in/dr-kashika-p-h-621324275/
Certification
Online Course in Management, Coursera, Google
Hard Skills
- Data Warehousing
- Machine Learning
- Survey Data Collection
- Data Modeling
- Data Mining
- SQL Server Reporting Services
Technical Skills
- SQL
- HTML/CSS
- MATLAB
- Python
- R
Custom Section 2
(2022), “Automatic Tracking of Objects Using Improvised YOLOv3 Algorithm and alarm Human Activities in case of Anomalies” International Journal of Information Technology, DOI: 10.1007/s41870-022-01062-0.
(2022), “Intelligent Surveillance System to detect Moving Drones Equipped with weapon Payloads” Journal of Optoelectronics Laser, DOI: 10050086.2022.09.64, 41(9), 578-583.
(2022), “Harmful Object Detection In a Smart Alarming System”, Journal of Maharaja Sayajirao University of Baroda, 56(1), 186-191.
(2021), “Deep Learning Technique for Object Detection from Panoramic Video Frames”, International Journal of Computer Theory and Engineering, DOI: 10.7763/IJCTE. 2022. V14.1306, 14(1), 20-26.
(2021), “An Adaptive YOLO Object Detection Model for Autonomous Driving System”, Journal of Huazhong University of Science and Technology, 50(4).
Accomplishments
Research Scholar, PDA College of Engineering, Kalaburagi, Karnataka, India, Summer 2016. Worked under Dr Jayashree Agarkhed supervision on Wireless Sensor Network Based System Technique for precision Agriculture to improve time efficiency and land productivity.
Research Scholar, Kammavari Sangham Institute of Technology, Bengaluru, Karnataka, India, 2017-2019. Worked under Dr Rekha B Venkatapur’s supervision on a qualitative study of Panorama Stitching and Motion Detection. Collected and performed Survey and Literature Review on Image Stitching Techniques, Motion Detection and Tracking, Applications of Surveillance based images/videos, Detection of moving objects in static and real-time scenes. Conducted Study on Python language in Object detection based Panoramic Video frames using Multiple Surveillance Cameras. Conducted Research on real-time objects, Proposals and Paper publications in standard Journals and Conferences. My Research activities would boost the strengths in the areas of Artificial Intelligence, Deep Learning/Machine Learning with the use of smart sensors.
Research Scholar, Kammavari Sangham Institute of Technology, Bengaluru, Karnataka, India, 2019-2022, Collected various Datasets and obtained good results using Deep learning techniques to detect the objects in real-time using various Object Detection methods. Participated in International Conferences in and outside of the Institution.
RESEARCH INTERESTS
Artificial Intelligence: Research into the development of new algorithms and models for AI, as well as applications in areas such as Image processing, computer vision.
Image processing: Developing machine learning models to analyze and interpret image data, including topics such as deep learning, convolutional neural networks.
Data Analysis: Developing methods for representing data visually, including topics such as interactive data visualization, visual analytics, and data storytelling.
Big data analytics: Developing techniques to analyze and process massive datasets, including topics such as distributed computing, parallel processing, and data warehousing.
CONFERENCE PAPERS
Kashika P H, Jayashree Agarkhed, “iFriendly: A WSN Based System technique for Precision Agriculture” International Conference on Microelectronics, Circuits and Systems, MICRO 2016, Kolkata, West Bengal, India; July 2016.
Kashika P H, Rekha B Venkatapur, “A Survey on Motion Detection by Image Stitching Techniques”, Asian Journal of Convergence in Technology, Pune, India; March 2019.
Kashika P H, Rekha B Venkatapur, “Multi-Scale Recurrent YOLO(MSRYOLO) Object Detection for Video Surveillance System”, International Conference on Applications of Artificial Intelligence and Computational Mathematics (AAICM), Bengaluru, India; December 2020-Best Paper presentation Award.
Kashika P H, Rekha B Venkatapur, “Object Detection on Panoramic Images using YOLOv5”, International Mardin Artuklu Scientific Research Conference, Mardin, Turkey; June 2022.
Kashika P H, Rekha B Venkatapur, “A Survey on Object Detection Techniques in Panoramic Images and Videos”, International Conference of Korkut Ata Scientific Research Conference, Osmaniye, Turkey; June 2022.
HONORS/AWARDS
Best Paper Presentation Award, International Conference on Applications of Artificial Intelligence and Computational Mathematics (AAICM), 2020.
Speaker at Sharnbasva University on Artificial Intelligence, Computer Vision, Image Processing, at Kalaburagi, Karnataka, India.
Research Scholar, Kammavari Sangham Institute of Technology, Bengaluru, Karnataka, India, 2017-2019. Worked under Dr Rekha B Venkatapur’s supervision on a qualitative study of Panorama Stitching and Motion Detection. Collected and performed Survey and Literature Review on Image Stitching Techniques, Motion Detection and Tracking, Applications of Surveillance based images/videos, Detection of moving objects in static and real-time scenes. Conducted Study on Python language in Object detection based Panoramic Video frames using Multiple Surveillance Cameras. Conducted Research on real-time objects, Proposals and Paper publications in standard Journals and Conferences. My Research activities would boost the strengths in the areas of Artificial Intelligence, Deep Learning/Machine Learning with the use of smart sensors.
Research Scholar, Kammavari Sangham Institute of Technology, Bengaluru, Karnataka, India, 2019-2022, Collected various Datasets and obtained good results using Deep learning techniques to detect the objects in real-time using various Object Detection methods. Participated in International Conferences in and outside of the Institution.
RESEARCH INTERESTS
Artificial Intelligence: Research into the development of new algorithms and models for AI, as well as applications in areas such as Image processing, computer vision.
Image processing: Developing machine learning models to analyze and interpret image data, including topics such as deep learning, convolutional neural networks.
Data Analysis: Developing methods for representing data visually, including topics such as interactive data visualization, visual analytics, and data storytelling.
Big data analytics: Developing techniques to analyze and process massive datasets, including topics such as distributed computing, parallel processing, and data warehousing.
CONFERENCE PAPERS
Kashika P H, Jayashree Agarkhed, “iFriendly: A WSN Based System technique for Precision Agriculture” International Conference on Microelectronics, Circuits and Systems, MICRO 2016, Kolkata, West Bengal, India; July 2016.
Kashika P H, Rekha B Venkatapur, “A Survey on Motion Detection by Image Stitching Techniques”, Asian Journal of Convergence in Technology, Pune, India; March 2019.
Kashika P H, Rekha B Venkatapur, “Multi-Scale Recurrent YOLO(MSRYOLO) Object Detection for Video Surveillance System”, International Conference on Applications of Artificial Intelligence and Computational Mathematics (AAICM), Bengaluru, India; December 2020-Best Paper presentation Award.
Kashika P H, Rekha B Venkatapur, “Object Detection on Panoramic Images using YOLOv5”, International Mardin Artuklu Scientific Research Conference, Mardin, Turkey; June 2022.
Kashika P H, Rekha B Venkatapur, “A Survey on Object Detection Techniques in Panoramic Images and Videos”, International Conference of Korkut Ata Scientific Research Conference, Osmaniye, Turkey; June 2022.
HONORS/AWARDS
Best Paper Presentation Award, International Conference on Applications of Artificial Intelligence and Computational Mathematics (AAICM), 2020.
Speaker at Sharnbasva University on Artificial Intelligence, Computer Vision, Image Processing, at Kalaburagi, Karnataka, India.
Timeline
Data Analyst
Government Polytechnic College
10.2017 - 06.2019
Junior Data Analyst
Visvesvaraya Technological University Regional Centre
10.2017 - 02.2018
PhD - Image Processing
Visvesvaraya Technological University
Master of Technology - Computer Science
PDA College of Engineering
Bachelor of Engineering - Computer science
PDA College of Engineering