02/28/2023 updated
SS
100 % available
INTERNSHIP STUDENT
Birmingham, United Kingdom
Worldwide
Master in AI/MLC (Programming Language)Java (Programming Language)Artificial IntelligenceData AnalysisSoftware ApplicationsTest AutomationMicrosoft AzureC++ (Programming Language)Cloud ComputingComputer ProgrammingInformation Technology ConsultingDatabasesExtract Transform Load (ETL)Data StructuresData Visualization
Hadoop, Spark, Artificial Intelligence, automated test scripts, Azure Data Factory, C, C++, Cloud Computing, Programming, data analytics, Analytics, Data Lake, Data storage, Data Structures, Data Visualization, Data Warehouse, Databases, Databricks, Digital Signal Processing, Embedded C, XML, ETL, flask, information technology, Computer Science, IT consulting, Java, machine learning, Microsoft Azure, Azure Services, Azure, MySQL, PLSQL, Perl, PostgreSQL, PowerBI, PySpark, Python, Random Forest, raw data, Scikit-learn, Application Software, software development, Application Development, web application, Web Development, Wireless Sensor Networks
Languages
GermanBasic knowledgeEnglishFluentHindiFluent
Project history
- Provided advanced analytics business Solutions
- Created and managed customized dashboards
- Constructed real-time dashboards and delivered customer requirements accordingly
- Hands-on experience with Cloud Development platforms like Azure and AWS
. .
Saggezza India Pvt Ltd, Chennai, India
Cloud, Data & Analytics
* Collaborated with Cloud, data & analytics practice team to design an optimized infrastructure,
custom dashboards, and scaled data capabilities for a retail company.
* Built Real-time dashboards, reporting, genetic and smart solution algorithms, and
modernization of the technology stack for a multinational, Fortune 1000.
* Designed a predictive and prescriptive analytics solution for inventory/supply chain planning
based on machine learning for a retail company.
* Led a five-person team of programmers to design and build a predictive analytics solution to
predict right-fit hires for an IT consulting firm.
Software Development
* In partnership with a massive team of engineers, designed and created programmes to handle
the services of many banks to fulfil the requirements of millions of customers.
* Designed and developed optimized automated test scripts for man-less monitoring of
production application processes of hundreds of applications for Business Communication
Services reducing overall testing hours by 70%.
* Client Serviced: ~ RR Donnelly ~ East West Bank ~ Bank of America~ ArtVan Furnitures
Saggezza India Pvt Ltd, Chennai, India
Cloud, Data & Analytics
* Collaborated with Cloud, data & analytics practice team to design an optimized infrastructure,
custom dashboards, and scaled data capabilities for a retail company.
* Built Real-time dashboards, reporting, genetic and smart solution algorithms, and
modernization of the technology stack for a multinational, Fortune 1000.
* Designed a predictive and prescriptive analytics solution for inventory/supply chain planning
based on machine learning for a retail company.
* Led a five-person team of programmers to design and build a predictive analytics solution to
predict right-fit hires for an IT consulting firm.
Software Development
* In partnership with a massive team of engineers, designed and created programmes to handle
the services of many banks to fulfil the requirements of millions of customers.
* Designed and developed optimized automated test scripts for man-less monitoring of
production application processes of hundreds of applications for Business Communication
Services reducing overall testing hours by 70%.
* Client Serviced: ~ RR Donnelly ~ East West Bank ~ Bank of America~ ArtVan Furnitures
BHABHA ATOMIC RESEARCH CENTER (BARC) , Mumbai, India
* Internship in the department of Accelerator Control Division (ACnD).
* Development of Software Program to detect magnet quench in particle accelerator.
* Designed RF Board for IQ Demodulation system.
PROJECTS PREDICTING RIGHT-FIT HIRES FOR ORGANISATION .
* Predictive Data analysis was performed on the HR and recruitment datasets using services
provided by Microsoft Azure.
* Many actionable insights were pulled out of the raw data such as Time to hire employees,
money spent on hiring process, recruitment conversion rate for each HR, turnover rate by
age, offer acceptance rate, applicant's experience and qualifications fit the job description?.
* Based on the above insights better hiring decisions were made improving quality of hire.
* The Azure Services used are Data Lake Gen2 (Data storage), Azure Data Factory (ETL)
Azure Databricks (Processing of Data using PySpark), Microsoft Azure ML Studio
(Predictive Analytics), PowerBI (Reports).
* Client serviced: Saggezza India Pvt Ltd.
APP TO GENERATE CHEQUE AND BILL FOR VARIOUS FINANTIAL INSTITUTIONS
* Developed Back End Application to generate cheques, bills of exchange, loans, credit cards
etc. for millions of customers. Technologies used Python, Perl, XML, PLSQL.
* Automation script was written in Python to send the reports of the processed customer files
to the respective project manager of the application for approval.
* Client serviced: RR Donnelly ~ East West Bank ~ Bank of America
FIRE WEATHER INDEX SYSTEM DESIGN AND PREDICTION OF FOREST FIRE
* The main aim of the project was to predict the chances of forest fire using FWI parameters,
Wireless Sensor Networks and Machine Learning.
* Developed WSN system that can sense and record the real-time values of the climatic factors
such as Temperature, Relative Humidity, Wind Speed, and Rain.
* Created node deployment strategy and how the data collected are transmitted to the base
station for storage and processing and created an application to calculate the FWI values.
* Designed an optimized predictive model based on Random Forest Classifier for forest fire
prediction in early stage. Promising results were obtained with the Random Forest.
* Finally, successfully built a web application using flask that can host this calculated and
predicted data in the internet for the Forest Department to monitor and take preventive
measures based on the prediction output.
* Technology used: Python, Embedded C, PostgreSQL, Flask, Machine Learning.
TELE-MONITORING OF PARKINSONS DISEASE PROGRESSION BY NON-INVASIVE
SPEECH TESTS.
* The project addresses the pertinent problem of monitoring neurological disorders and in
particular Parkinson's disease (PD). Using speech signals as a measurement, we develop a
Machine Learning Model for (a) Differentiating healthy controls from people with Parkinson
's (PWP). (b) Monitoring accurately, and remotely, average PD symptom severity as defined
by the clinical metric Unified Parkinson's Disease Rating Scale (UPDRS).
* Internship in the department of Accelerator Control Division (ACnD).
* Development of Software Program to detect magnet quench in particle accelerator.
* Designed RF Board for IQ Demodulation system.
PROJECTS PREDICTING RIGHT-FIT HIRES FOR ORGANISATION .
* Predictive Data analysis was performed on the HR and recruitment datasets using services
provided by Microsoft Azure.
* Many actionable insights were pulled out of the raw data such as Time to hire employees,
money spent on hiring process, recruitment conversion rate for each HR, turnover rate by
age, offer acceptance rate, applicant's experience and qualifications fit the job description?.
* Based on the above insights better hiring decisions were made improving quality of hire.
* The Azure Services used are Data Lake Gen2 (Data storage), Azure Data Factory (ETL)
Azure Databricks (Processing of Data using PySpark), Microsoft Azure ML Studio
(Predictive Analytics), PowerBI (Reports).
* Client serviced: Saggezza India Pvt Ltd.
APP TO GENERATE CHEQUE AND BILL FOR VARIOUS FINANTIAL INSTITUTIONS
* Developed Back End Application to generate cheques, bills of exchange, loans, credit cards
etc. for millions of customers. Technologies used Python, Perl, XML, PLSQL.
* Automation script was written in Python to send the reports of the processed customer files
to the respective project manager of the application for approval.
* Client serviced: RR Donnelly ~ East West Bank ~ Bank of America
FIRE WEATHER INDEX SYSTEM DESIGN AND PREDICTION OF FOREST FIRE
* The main aim of the project was to predict the chances of forest fire using FWI parameters,
Wireless Sensor Networks and Machine Learning.
* Developed WSN system that can sense and record the real-time values of the climatic factors
such as Temperature, Relative Humidity, Wind Speed, and Rain.
* Created node deployment strategy and how the data collected are transmitted to the base
station for storage and processing and created an application to calculate the FWI values.
* Designed an optimized predictive model based on Random Forest Classifier for forest fire
prediction in early stage. Promising results were obtained with the Random Forest.
* Finally, successfully built a web application using flask that can host this calculated and
predicted data in the internet for the Forest Department to monitor and take preventive
measures based on the prediction output.
* Technology used: Python, Embedded C, PostgreSQL, Flask, Machine Learning.
TELE-MONITORING OF PARKINSONS DISEASE PROGRESSION BY NON-INVASIVE
SPEECH TESTS.
* The project addresses the pertinent problem of monitoring neurological disorders and in
particular Parkinson's disease (PD). Using speech signals as a measurement, we develop a
Machine Learning Model for (a) Differentiating healthy controls from people with Parkinson
's (PWP). (b) Monitoring accurately, and remotely, average PD symptom severity as defined
by the clinical metric Unified Parkinson's Disease Rating Scale (UPDRS).