Applied deep learning techniques leveraging Azure machine learning to develop a classifier for detecting lung fibrosis from medical X-ray images based on the visual patterns in the images and the associated static features such as age, gender, smoking habit, family history (known cases of genetic diseases or conditions), medical history (past surgeries, illnesses, or treatments) etc., using PyTorch to train and evaluate the model. Resulted in a 30% reduction in false negative rates, leading to… Show more Applied deep learning techniques leveraging Azure machine learning to develop a classifier for detecting lung fibrosis from medical X-ray images based on the visual patterns in the images and the associated static features such as age, gender, smoking habit, family history (known cases of genetic diseases or conditions), medical history (past surgeries, illnesses, or treatments) etc., using PyTorch to train and evaluate the model. Resulted in a 30% reduction in false negative rates, leading to more accurate and reliable diagnoses. Show less

Working with OraQ AI on a full-time Capstone project - Using NLP to untangle the complex web of dental conditions as part of Master of Data Science degree at UBC- Developing unsupervised machine models to estimate patient’s risk for conditions based on patient clinical notes- Visualizing trends between risks for different dental conditions - Detecting anomalies/outliers from discovered trends - Using NLP techniques like LDA and word embeddings to obtain text similarity using… Show more Working with OraQ AI on a full-time Capstone project - Using NLP to untangle the complex web of dental conditions as part of Master of Data Science degree at UBC- Developing unsupervised machine models to estimate patient’s risk for conditions based on patient clinical notes- Visualizing trends between risks for different dental conditions - Detecting anomalies/outliers from discovered trends - Using NLP techniques like LDA and word embeddings to obtain text similarity using Glove and word2vec models and aggregating the same. Show less

- Oversaw initial business planning, funding, and employee recruitment- Prepared data for efficient reporting of clinical trial results to regulatory bodies, and performed sales and marketing analysis leading to optimization in manufacturing costs by 40%- Developed visualizations of clinical trial biomedical data reducing time for approval from Medical Ethics Committees by 50%- Performed Customer Segmentation to segregate the market into 3 main categories for targeted marketing… Show more - Oversaw initial business planning, funding, and employee recruitment- Prepared data for efficient reporting of clinical trial results to regulatory bodies, and performed sales and marketing analysis leading to optimization in manufacturing costs by 40%- Developed visualizations of clinical trial biomedical data reducing time for approval from Medical Ethics Committees by 50%- Performed Customer Segmentation to segregate the market into 3 main categories for targeted marketing which increased sales by 15% over three quarters.- Analyzed Sales data to craft market winning marketing collaterals.- Performed Exploratory Data Analysis and created a baseline model to detect lung cancer and fibrosis in patients to help future data science teams with prognostication modeling- Tracked and analyzed sales and marketing trends to optimize manufacturing costs by 40%- Coordinated introduction of the new flagship product in compliance with regulations by partnering with internal teams and customer hospitals Show less

Using Pyspark, build a machine learning model to predict machine failure based on the time series data obtained from the sensors deployed at more than 150 locations across India led to a 20% decrease in machine failure.- Improved the quality of existing anomaly detection by 15% by statistical analysis of data to come up with new features from sensor data from different locations.- Created Tableau dashboards to effectively visualize the trends in data and provide business insights for… Show more Using Pyspark, build a machine learning model to predict machine failure based on the time series data obtained from the sensors deployed at more than 150 locations across India led to a 20% decrease in machine failure.- Improved the quality of existing anomaly detection by 15% by statistical analysis of data to come up with new features from sensor data from different locations.- Created Tableau dashboards to effectively visualize the trends in data and provide business insights for monthly review.- Design A/B tests and experimentation for product features, analyze how the key metrics respond, and evaluate whether to increase exposure or stop the experiment- Prepared questionnaires and collected data to predict customer churn from the monthly subscription which improved the service quality and retention over 6 months.- Helped management prioritize business and information needs with regular reviews of customer SLA contracts and objectives- Created and maintained Tableau Dashboards to visualize real-time failure of electrical systems - Improved customer onboarding efficiency by 33% with skilled data interpretation and resultsanalysis using various statistical techniques- Analysed sales and revenue data to understand customer churn patterns which helped us come up with strategies to improve customer experience and increase revenue. Show less

- Improved product delivery time by 30% by collaborating with sales and manufacturing teams to visualise process timelines in Tableau.- Performed A/B testing to help marketing teams develop and maintain the company website.- Performed Forecasting of Sales of different ranges of products for different locations to help the procurement team in sourcing the raw materials.- Collaborated with Sales & Marketing teams to identify 4 potential new markets for growth using data from internal… Show more - Improved product delivery time by 30% by collaborating with sales and manufacturing teams to visualise process timelines in Tableau.- Performed A/B testing to help marketing teams develop and maintain the company website.- Performed Forecasting of Sales of different ranges of products for different locations to help the procurement team in sourcing the raw materials.- Collaborated with Sales & Marketing teams to identify 4 potential new markets for growth using data from internal and external sources and create powerful presentations.- Analyzed sales and revenue data to improve the pricing strategy and also understand customer conversion for different products. Show less

- Identified, designed, and developed test cases to evaluate applications.- Worked in quick agile cycles performing testing and updating the RTMs- Investigated databases using structured query languages such as SQL- Supported software testing with script design to automate processes.