HemansAI

Data & AI Consulting, Development, AI Leadership Training.

Founder

85% of AI products and projects fail.

The two biggest challenges businesses face with AI:

1. Estimating and demonstrating AI value [VPs, CEOs, product managers, and decision-makers]
2. Lack of talent and skills [AI engineers and data professionals]

Most business leaders fall into the first category.

Even if you’re skilled at your job, your team might lack confidence that the AI solution will deliver the desired outcomes.

It’s frustrating, right? You see others succeeding with AI, but your team your team is stuck planning, fixing, or juggling disconnected tools.

AI is supposed to bring automation, sharper insights, and smarter decisions.

But when you try to implement it, you encounter chaos:

- Lack of clarity on ROI
- Endless troubleshooting instead of progress estimation
- Too many disconnected systems to demonstrate AI value

It’s easy to wonder if AI will ever deliver what it promises for your business and career.

Now, imagine a future where AI doesn’t just work—it works seamlessly in your organization.

Your data isn’t just stored—it powers real-time insights, precise forecasts, and simplified processes.

Picture an AI strategy that works without constant troubleshooting—a setup that scales and brings results.

I’m an AI consultant, here’s how I can help you:

- the AI leadership coaching

It’s about creating an AI path that’s right for your business or your career with real results, not just ideas.

Let’s connect. we’ll talk about AI strategies, products, and career opportunities.
connect@himanshuramchandani.co

Himanshu Ramchandani

Tredence Inc.

Data Science Consultant 

Secomind.AI

📌Understands the business use cases and convert them into a well- defined problem statement and designed, developed, and deployed complete end to end machine learning solutions.
📌Led a team focused on advanced machine learning and predictive modeling for signal processing applications.
📌Spearheaded the development of predictive models using Recurrent Neural Networks (RNNs) and Spectral RNNs.
📌Worked on quantization techniques to optimize model performance in resource-constrained environments, resulting in efficient deployment on FPGA platforms.
📌Collaborated with cross-functional teams to integrate FPGA-accelerated models into real-time data processing pipelines, enabling rapid decision-making.
📌Developed secure Deep Authenticator for vending machines using MTCNN and FaceNet embeddings, ensuring seamless and safe customer transactions.
📌Streamlined communication of technical concepts through documentation and presentations for diverse stakeholders

Data Scientist

GenieTalk Private Limited

📌Conversational AI Platform(Chatbot) : Design end to end Voice UI multilingual Conversational Agent framework. 
📌Built ML NLP-based production quality conversational application which is more convenient and saves users time.
📌Created ML pipeline, performed feature selection and extraction to model creation, fine tuning and deployment.

Junior Data Scientist

School of Data Science & Forecasting (Formerly School Of Future Studies & Planning) DAVV

I took the Admission through Gate Scorecard it was mandatory 8hrs teaching help per week.
Roles and Responsibilities:

📌Help the Professor in organizing lecture content.
📌Help the Professor in creating tutorial problems.
📌Guide students in solving tutorial problems (in labs as well as during tutorial sessions).
📌Help the Professor in setting up the quiz/exam papers.
📌Took Python and Machine learning,Deep learning Sessions for UG and M.Tech juniors.

Teaching Assistant During M.Tech 

Techsolvo

Machine Learning Intern

CatalyseR 

📌Taught Physics and Mentored hundreds of students to achieve success in various competitive examinations like JEE-Mains, JEE-Advanced, NEET, KVPY, NTSE, and International Olympiad.
📌Analyzing the needs, strengths, and weaknesses of students and structuring lessons and assessments around them.
📌Adjusted teaching methods to suit different groups of learners.
📌Conducted and Addressed effective parent-teacher conferences.

IIT JEE/NEET Physics Faculty

“Torture the data, and it will confess to anything”

I am a Data Scientist with 4+ years of expertise in the Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, Image Processing, Robotics,Natural Language Processing, Edge AI, AIDevOps and Highly optimized Algorithm Development for neural network computing on CPU, GPU, DSP, ISP, FPGA.

⏩Programming Languages: Python, C,&  C++.

⏩Other Libraries : Numpy, Pandas, NLTK, Spacy, Keras, SkLearn, Matplotlib, Seaborn,OpenCV,Cufflinks,Plotly and Bokeh.

⏩Deep Learning Frameworks: Tensorflow, Pytorch, Keras, CUDA

⏩DataBase:Oracle, MongoDB, SQLite, SQL ,Cassandra

⏩Big Data Tools & Frameworks: PySpark, Hadoop

⏩Statistics: Descriptive Statistics, Inferential Statistics,Probability density/distribution function,Binomial distribution,Poisson distribution,Normal distribution (Gaussian distribution),Bernoulli distribution,Central limit theorem, Hypothesis Testing (A/B Testing),Z-Test,T-Test,ANOVA,Chi-Square Test,F-test and Bayes theorem.

⏩ Machine Learning: Linear Regression, Logistic Regression, Decision Trees,Support Vector Machines,Naive Bayes, Ensemble Technique,Random forest(Bagging), Boosting technique ,Ada boost,Gradient boost,Xgboost,KNN, K Means Clustering ,DBSCAN PCA,Factor Analysis.

⏩Computer Vision: ANN,CNN,Lenet-5,Alexnet,Googlenet ,Vggnet Resnet ,Inception net,Darknet variants,Transfer learning,Rcnn,Fast rcnn ,Faster r cnn,Ssd ,Ssd lite, Object detection (Tensorflow Object detection API, Detectron2, YOLO) ,Retina net,Face net,Kalman filtering,Sort,Deep sort,Semantic segmentation,Masked rcnn.

⏩Advance Natural Language Processing: Text Processing,RNN,GRU,LSTM,BiLSTM,Stacked LSTM,Word embedding,Encoders and decoders, transformers,BERT,Distilbert model.

⏩VCS, DevOps & Misc Tools: Jupyter Notebook, PyCharm, VSCode, Git, Flask,Streamlight, Docker, REST API,Google Colab,AWS,Django,Elasticsearch,Kubernetes, TF-Serving.

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Himanshu Ramchandani

AAYUSH JAIN

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