With over 2.4 years of experience in Machine Learning and Deep Learning, I've developed a strong proficiency in Python, TensorFlow, NumPy, Pandas, SQL, ArangoDB, and Postgres. My expertise has been applied to various projects, including prioritizing security alerts using NLP and RandomForestClassifier, detecting anomalies in Windows Domain Servers using server logs, and developing image and audio-based intrusion detection systems. I've also utilized Anaconda, Jupyter Notebook, Docker, Git, Airflow, MLflow, Jira, and Docker Swarm to streamline development and deployment. Currently, I'm working on an Alert Correlation Engine, where I'm mapping alerts to respective Mitre Groups (e.g., APT29, APT3) to enhance threat intelligence and incident response capabilities.Experienced With deployment of ML models in Azure Cloud Environment with model monitoring.
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Associate ConsultantInfosysPune, Mh, In
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Senior Software EngineerPersistent Systems Jun 2024 - PresentPune, Maharashtra, India• Data Preprocessing and Feature Extraction for model generation using pre-processing techniques and developed ML Pipeline using Airflow and MLflow .• Built a Machine Learning pipeline for prioritizing the security alerts using NLP to extract the relevant textsand then using supervised model i.e. RandomForestClassifier , which reduced the SOC analyst efforts andonly to review High priority alerts.• Worked on sonarqube related bugs and provided the fix for the same on the goCurrently, I'm working on an Alert Correlation Engine, where I'm mapping alerts to respective Mitre Groups (e.g., APT29, APT3) to enhance threat intelligence and incident response capabilities. -
Software EngineerPersistent Systems Jun 2022 - Jun 2024Pune, Maharashtra, India• Worked closely with clients to understand and utilize Machine Learning for different Cyber-Security threats.• Data Preprocessing and Feature Extraction for model generation using pre-processing techniques and developed ML Pipeline using Airflow and MLflow .• AI/ML Based decision making on intrusion at Windows Access Directory(AD) using Anamoly Detection withthe Isolation Forest Model, which helped in cyber-threat detection like Kerberoasting, Golden Ticket Attack,deployed the pipeline on Airflow and the model on Mlflow for streamlining the process.• Built ML pipeline to detect Steganography using Tensorflow and deployed it on the Docker Swarm . Forthis used Faust Streaming for continuous detection of the steg files. Trained on different dataset whichcomprised of benign and malignant samples
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Machine Learning EngineerHighradius Aug 2021 - May 2022Bhubaneswar, Odisha, IndiaUsing ML for the Payment Date Prediction and Cash Management for the B2B Market place. I built the ML pipeline where I extracted the relevant time series features for Categorical, Numerical and some derived features. I used these features to train and predict the future payment date for the client data. And then did the UAT and deployed it on the Prod.
Pratham Verma Education Details
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8.3/10 -
89/100 ℅
Frequently Asked Questions about Pratham Verma
What company does Pratham Verma work for?
Pratham Verma works for Infosys
What is Pratham Verma's role at the current company?
Pratham Verma's current role is Associate Consultant.
What schools did Pratham Verma attend?
Pratham Verma attended Narula Institute Of Technology, Shree Jain Vidyalaya, Stepping Stone School (High).
Who are Pratham Verma's colleagues?
Pratham Verma's colleagues are Pooja Kurbet, Mohammed Jaffer Ali Khaan, Nithin K.v, Mosouwer Jamil, Agasti Nayak, Pithani Rohith Vamsi, Raja Durga Venakta Ganesh Chipurupalli.
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Pratham Verma
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