Priyanka Parab Email & Phone Number

Mumbai, Mh, In

Mumbai, Maharashtra, India

Project: Credit Monitoring System and Emergency Warning System overseasClient: Bank of IndiaProject Duration: Sept 2023 – April 2024Project Description:• From daily data, generate alerts like high value transaction, bouncing of high value cheques etc.• Classify the customer into different groups like customers into SMA-1, SMA-2, SMA-3, NPA which help collection of money from customersSMA-1: customers who fails to make loan EMI payment after 30 days from payment date… Show more Project: Credit Monitoring System and Emergency Warning System overseasClient: Bank of IndiaProject Duration: Sept 2023 – April 2024Project Description:• From daily data, generate alerts like high value transaction, bouncing of high value cheques etc.• Classify the customer into different groups like customers into SMA-1, SMA-2, SMA-3, NPA which help collection of money from customersSMA-1: customers who fails to make loan EMI payment after 30 days from payment date SMA-2: customers who fails to make loan EMI payment after 60 days from payment date SMA-2: customers who fails to make loan EMI payment after 90 days from payment date NPA: Non performing asset.Technology used: Python, Pentaho, Sql developerResponsibilities:• Providing Support to Users.• Validating data and loading. • Fixing Python Microservices Bugs, SSL configuration, clearing SCD/Vulnerabilities on quarterly basic, UAT-prod sync, DC-DR sync. Show less

Project: Anomaly detection leveraging Machine Learning Phase 2Client: National Stock ExchangeProject Description• The project purpose is to improve surveillance through machine learning models that leverage existing data sources (Order and Trade data). • NSE has both algorithmic and non-algorithmic trading platform in which a traders do miscellaneous behavior by doing trading in the “not expected” way.• This application has a Python based Pipeline that processes this… Show more Project: Anomaly detection leveraging Machine Learning Phase 2Client: National Stock ExchangeProject Description• The project purpose is to improve surveillance through machine learning models that leverage existing data sources (Order and Trade data). • NSE has both algorithmic and non-algorithmic trading platform in which a traders do miscellaneous behavior by doing trading in the “not expected” way.• This application has a Python based Pipeline that processes this huge data of trading by processing certain calculation and based on these calculations. This calculated fields are then passed to ML Based clustering algorithm like Isolation Forest which was used to detect these suspected anomaliesTechnology used: Python, shell script, pandas, Matplotlib, Ml.Project: POC of Media RecommendationClient: National Stock ExchangeProject Duration: from Jan 2022 to Nov 2022 Project Description:• Find the False Stock recommendation by any person through media like News channel and Telegram• Method 1: Convert the Video into frames or capture the images from video, Detect the faces of person in images by providing the dataset of Anchors. Convert the video speech into text and perform NER operation and find the insight stock recommendation from text • Method 2: Convert the Video into frames or capture the images from video, extract text from images. and perform NER operation and find the insight stock recommendation from text• Integrated the AWS Transcribe, Comprehend, Textract Api with Python • For Telegram, integrated the telegram Api to fetch the telegram messages and done computation on fetched messages and find the insight stock recommendation from message dataTechnology used: Python, pandas, Artificial Intelligence, Aws Textract, S3, Comprehend, Transcribe, NER Show less

Mumbai, Maharashtra, India

Project: Attendance Automation SystemCompany: QuantsappProject Duration: Sept 2020 – July 2021Project Description:• Taking logs from biometric machine into Aws dynamodb. Calculate the number of hours employee worked and show late mark, early out, absent, full day • Hr module – where Hr can view the all-user details, monthly and daily attendance details of every employee, Add and update employee details like Pan card, Aadhar card, DOB, Address, photo, join date, phone… Show more Project: Attendance Automation SystemCompany: QuantsappProject Duration: Sept 2020 – July 2021Project Description:• Taking logs from biometric machine into Aws dynamodb. Calculate the number of hours employee worked and show late mark, early out, absent, full day • Hr module – where Hr can view the all-user details, monthly and daily attendance details of every employee, Add and update employee details like Pan card, Aadhar card, DOB, Address, photo, join date, phone number etc• Leave management – where employee can apply leave, apply comp-off, regularization and hierarchical leave approval i.e each employee leave approval will go to their respective team leaders or higher senior person. • Automate the leave renewal process, on every start of financial year leaves will get update on pro data basis • Send mail on leave apply or approval to the employee and to their respective team leaderProject: Web Scraping Company: QuantsappProject Duration: Aug 2020 - Oct 2021Project Description:• Web Scraping using selenium, automate the download process of factsheets pdf of 40 AMC.Technology used: Python, Web Scraping, seleniumTechnology used: Python, pandas, Aws S3, Lambda, EC2, dynomodb , REST Api, Flask Show less

Mumbai, Maharashtra, India

Project: E-commerce Shopping Website Company: Neosoft TechnologiesProject Duration: March 2019 – June 2020Project Description:• Developed the Shopping web application used Django, worked on both Front end and Back end, Crud operation, Products filter operation, Showing products as per price range, payment gateway(paypal), tracking orders, Graph visualization monthly sales, implemented Cart functionality, mail sending while tracking orders.Technology used: Python… Show more Project: E-commerce Shopping Website Company: Neosoft TechnologiesProject Duration: March 2019 – June 2020Project Description:• Developed the Shopping web application used Django, worked on both Front end and Back end, Crud operation, Products filter operation, Showing products as per price range, payment gateway(paypal), tracking orders, Graph visualization monthly sales, implemented Cart functionality, mail sending while tracking orders.Technology used: Python, Django, JavaScript, html, css, Mysq, Docker, linux, SQL alchemy Show less

Pg, Computer Programming, 60

Diploma in Big data analysis

Bachelor Of Engineering - Be, Electrical, Electronics And Communications Engineering, 60