Help & Supportcareers@gravityer.com
I am a software developer,passionate about new technologies and keep on learning new skills,Love to deal with complex problems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Oracle
Data Scientist
June 18, 2026 – Present
AnomalyDetection
September 6, 2023 – September 6, 2023
Anomaly detection is essential in cybersecurity and system monitoring.
View ProjectMLops-PipeLine---MLFlow-and-AirFlow
September 21, 2022 – September 21, 2022
MLOps pipeline for customer churn case study - CodePro is an EdTech startup that had a phenomenal seed A funding round. It used the money to increase its brand awareness. As the marketing spend increased, it got several leads from different sources. Although it had spent significant money on acquiring customers, it had to be profitable in the long run to sustain the business. The major cost that the company is incurring is the customer acquisition cost (CAC). customer acquisition cost is required to be high in companies. But as their businesses grow, these companies start focussing on profitability. Many companies first offer their services for free or provide offers at the initial stages but later start charging customers for these services. For example, Google Pay used to provide many offers, and Reliance Jio in India offered free mobile data services for over a year. Once these brands were established and brand awareness was generated, these businesses started growing organically. A
View ProjectAutomatic-Ticket-Classification
July 20, 2022 – July 20, 2022
For a financial company, customer complaints carry a lot of importance, as they are often an indicator of the shortcomings in their products and services. If these complaints are resolved efficiently in time, they can bring down customer dissatisfaction to a minimum and retain them with stronger loyalty. This also gives them an idea of how to continuously improve their services to attract more customers.
View ProjectNLP-SyntaticProcessing
June 22, 2022 – June 22, 2022
NLP-Syntatic Processing - Determine the disease name and its probable treatmen
View ProjectGesture-Recognition
May 17, 2022 – May 17, 2022
Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. You want to develop a cool feature in the smart-TV that can recognise five different gestures performed by the user which will help users control the TV without using a remote The gestures are continuously monitored by the webcam mounted on the TV. Each gesture corresponds to a specific command: Thumbs up: Increase the volume Thumbs down: Decrease the volume Left swipe: 'Jump' backwards 10 seconds Right swipe: 'Jump' forward 10 seconds Stop: Pause the movie
View ProjectMelanoma-Detection
April 19, 2022 – April 19, 2022
Build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis
View ProjectTelecomChurnCaseStudy-LogisticRegression-RandomForest-Adaboost-XGBOOST-
March 16, 2022 – March 16, 2022
In the telecommunication industry, customers tend to change operators if not provided with attractive schemes and offers. It is very important for any telecom operator to prevent the present customers from churning to other operators. In this case study would be to build an ML model which can predict if the customer will churn or not in a particular month based on the past data
View ProjectSurpriseHousingAdvanceRegression
February 9, 2022 – February 9, 2022
A US-based housing company named Surprise Housing has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price. The company is looking at prospective properties to buy to enter the market. You are required to build a regression model using regularisation in order to predict the actual value of the prospective properties and decide whether to invest in them or not. The company wants to know: Which variables are significant in predicting the price of a house, and How well those variables describe the price of a house. Also, determine the optimal value of lambda for ridge and lasso regression
View ProjectTextClassificationNaiveBayes
December 24, 2021 – December 24, 2021
Text Classification (SPAM/HAM) Naive Bayes using TfidfVectorizer, CountVectorizer and MultinomialNB,BernoulliNB
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in diverse data science applications, which aligns with an innovative and problem-solving culture. The current role at Oracle as a Data Scientist also suggests alignment with a professional, enterprise environment. However, the experience level is listed as 0, which contradicts the current role, making it difficult to fully assess cultural fit based on career progression. The projects are all personal, which is good for demonstrating initiative, but lacks insight into collaborative work environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving approach to real-world scenarios. However, without psychometric test results or interview data, it is difficult to assess soft skills, logical reasoning, work attitude, stress handling, or team collaboration.